How will this role have an impact?

Signify Health is looking for a passionate Site Reliability Engineer (SRE) to enhance our dynamic SRE team. Reporting to the Sr Director of Cloud Operations and SRE, we welcome individuals from different technical backgrounds, especially software engineers aspiring to transition into SRE/DevOps roles. 

At Signify Health, we appreciate and respect the unique experiences and perspectives that each team member brings. We are committed to providing an environment where everyone feels welcomed, respected, and empowered. So, no matter what your background is, we invite you to join us and help shape the future of healthcare while refining your skills in the SRE domain.

Diversity and Inclusion are core values at Signify Health, and fostering a workplace culture reflective of that is critical to our continued success as an organization

What will you do?

• Develop and implement strategies that improve the stability, scalability, and availability of our products
• Maintain and deploy observability solutions for infrastructure and applications to ensure optimal performance
• Participate in real-time service management, including crafting monitoring systems, alerts, playbooks, and runbooks in collaboration with our development teams
• Utilize your on-call rotation to proactively prevent incidents and maintain uninterrupted operations
• Work alongside colleagues from various disciplines to optimize operational processes
• This is a remote role with some occasional travel required to Dallas, TX

Basic Requirements

• Minimum of 4 years of relevant technical experience, with an emphasis on SRE/DevOps
• Experience creating python scripts to solve operational challenges
• Experience with Pipeline orchestration tooling such as Airflow, Dagster, etc.
• ELT tooling, Azure Data Factory
• Experience with Databricks interface/tools
• Practical experience with Azure or AWS, and Terraform
• Working knowledge of Kubernetes (AKS/EKS preferred)
• Familiarity with the deployment of CI/CD systems and practices

About Us:

Signify Health is helping build the healthcare system we all want to experience by transforming the home into the healthcare hub. We coordinate care holistically across individuals’ clinical, social, and behavioral needs so they can enjoy more healthy days at home. By building strong connections to primary care providers and community resources, we’re able to close critical care and social gaps, as well as manage risk for individuals who need help the most. This leads to better outcomes and a better experience for everyone involved.

Our high-performance networks are powered by more than 9,000 mobile doctors and nurses covering every county in the U.S., 3,500 healthcare providers and facilities in value-based arrangements, and hundreds of community-based organizations. Signify’s intelligent technology and decision-support services enable these resources to radically simplify care coordination for more than 1.5 million individuals each year while helping payers and providers more effectively implement value-based care programs.

We are committed to equal employment opportunities for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

To learn more about how we’re driving outcomes and making healthcare work better, please visit us at www.signifyhealth.com. 

About SonderMind

At SonderMind, we know that therapy works. SonderMind provides accessible, personalized mental healthcare that produces high-quality outcomes for patients. SonderMind's individualized approach to care starts with using innovative technology to help people not just find a therapist, but find the right, in-network therapist for them, should they choose to use their insurance. From there, SonderMind's clinicians are committed to delivering best-in-class care to all patients by focusing on high-quality clinical outcomes. To enable our clinicians to thrive, SonderMind defines care expectations while providing tools such as clinical note-taking, secure telehealth capabilities, outcome measurement, messaging, and direct booking.

To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter. 

About the Role

In this role, you will be responsible for designing, building, and managing the information infrastructure systems used to collect, store, process, and distribute data. You will also be tasked with transforming data into a format that can be easily analyzed. You will work closely with data engineers on data architectures and with data scientists and business analysts to ensure they have the data necessary to complete their analyses.

Essential Functions

• Strategically design, construct, install, test, and maintain highly scalable data management systems
• Develop and maintain databases, data processing procedures, and pipelines
• Integrate new data management technologies and software engineering tools into existing structures
• Develop processes for data mining, data modeling, and data production
• Translate complex functional and technical requirements into detailed architecture, design, and high-performing software and applications
• Create custom software components and analytics applications
• Troubleshoot data-related issues and perform root cause analysis to resolve them
• Manage overall pipeline orchestration
• Optimize data warehouse performance

What does success look like?

Success in this role will be by the seamless and efficient operations of data infrastructure. This includes minimal downtime, accurate and timely data delivery and the successful implementation of new technologies and tools. The individual will have demonstrated their ability to collaborate effectively to define solutions with both technical and non-technical team members across data science, engineering, product and our core business functions. They will have made significant contributions to improving our data systems, whether through optimizing existing processes or developing innovative new solutions. Ultimately, their work will enable more informed and effective decision-making across the organization.

Who You Are 

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Minimum three years experience as a Data Engineer or in a similar role
• Experience with data science and analytics engineering is a plus
• Experience with AI/ML in GenAI or data software - including vector databases - is a plus
• Proficient with scripting and programming languages (Python, Java, Scala, etc.)
• In-depth knowledge of SQL and other database related technologies
• Experience with Snowflake, DBT, BigQuery, Fivetran, Segment, etc.
• Experience with AWS cloud services (S3, RDS, Redshift, etc.)
• Experience with data pipeline and workflow management tools such as Airflow
• Strong negotiation and interpersonal skills: written, verbal, analytical
• Motivated and influential – proactive with the ability to adhere to deadlines; work to “get the job done” in a fast-paced environment
• Self-starter with the ability to multi-task

Our Benefits 

The anticipated salary rate for this role is between $130,000-160,000 per year.

As a leader in redesigning behavioral health, we are walking the walk with our employee benefits. We want the experience of working at SonderMind to accelerate people’s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their life and work.

Our benefits include:

• A commitment to fostering flexible hybrid work
• A generous PTO policy with a minimum of three weeks off per year
• Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate)
• Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ($1,100 company contribution) and FSA options
• Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it.
• Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition which allows between 8-16 weeks of paid leave)
• 401K retirement plan with 100% matching which immediately vests on up to 4% of base salary
• Travel to Denver 1x a year for annual Shift gathering
• Fourteen (14) company holidays
• Company Shutdown between Christmas and New Years
• Supplemental life insurance, pet insurance coverage, commuter benefits and more!

Application Deadline

This position will be an ongoing recruitment process and will be open until filled.

Equal Opportunity 
SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.

????London/Cardiff/UK Remote | ???? £155,000 - £175,000 + Benefits 

About our Data Discipline:

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 

We work in cross-functional squads where every data practitioner is a member of a central data discipline and fully embedded into a product squad alongside Engineers, Designers, Marketers, Product Managers, Finance Analysts etc.

What you’ll be working on:

You’ll work closely in the intersection between finance and data at Monzo, a role that will be critical to reach our ambitious goals within this area, which will be vital to future proof Monzo and support our mission to make money work for everyone.

You’ll be collaborating closely with the finance leadership team to build out a modern, data driven finance function. You will contribute towards both defining and executing our finance strategy which currently includes significant systems and automation investment. This includes scoping and delivering the data work required to support our finance systems (accounting, financial forecasting, treasury and regulatory reporting) as well as continuing to transform our key processes and controls. You’ll also be acting as an interface to Monzo’s engineering discipline across these transformation projects.

You will lead a data team responsible for building and maintaining reporting datasets required to embed control readiness and operational efficiency to allow Monzo to scale. This work will also be crucial to place finance on the right path in our journey to a potential IPO.

You’ll be leading a talented team building and analysing data models for commercial insight into our business performance. This includes building relationships within our Financial Planning & Analysis function and across the business to ensure we have the right analytics capabilities for successful business partnering.

Your day-to-day 

• Establish yourself as a trusted partner to the finance leadership team with a reputation for getting things done
• Work closely with finance leadership to define data’s priorities and support our finance strategy
• Ensure we have the right data capabilities, infrastructure and talent in place to be able to to make data driven commercial decisions and enable robust and reliable financial/regulatory reporting
• Bring data leadership and rigour to our finance function, enabling us to efficiently manage the bank’s performance and risk
• Help hire, develop and retain top tier data analysts and analytics engineers
• Promote a culture of proactive, high quality data insights that can impact the direction of Monzo

You should apply if:

What we’re doing here at Monzo excites you!

• You have multiple years of experience in data, leading analytics teams and building data infrastructure
• You consider yourself an empathetic leader and have experience managing multiple data individual contributors and data managers and you really enjoy that part of the job
• You are comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities
• You have experience working together and collaborating with senior business stakeholders and finance teams
• Working knowledge of Python, Airflow, dbt, Bigquery and Looker

Nice to haves

• You have experience in one or more Finance domains, for example: Financial Reporting, Treasury, Regulatory Reporting or Financial Planning & Analysis, Financial Risk and Investor Relations
• Experience with financial systems such as NetSuite, SAP, Oracle, Anaplan, Blackline, Vermeg

The Interview Process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute call with hiring manager 
• 4 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

What’s in it for you:

✈️ We can help you relocate to the UK 

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

#LI-REMOTE #LI-NJ1

Overview

About the Role

We are looking for an exceptional Senior Business Intelligence Analyst to help build and manage robust data models, leverage data visualization tools to create dashboards, and partner closely with cross functional teams to design data solutions needed to enable financial reporting and operations. 

About the Team

You will be joining the Financial Systems Analytics team, which sits within the Finance department at Instacart. This team is responsible for ensuring financial data is accessible, complete, accurate, and timely for downstream consumers. As part of the team, you will be a key contributor in enabling financial data reporting, analysis, and other critical business operations within Instacart.  

About the Job

• Build and regularly maintain data pipelines and models critical to Instacart’s business operation, including those used for financial reporting and analysis 
• Partner closely with Accounting, Strategic Finance, Data Science, and other teams across the company to understand their most complex problems and develop effective data solutions, including definition and development of supporting data models and architecture
• Contribute to the optimization, documentation, testing, and tooling efforts aimed at improving data quality and empowering data consumers across the organization
• Regularly communicate progress, risks, and completion of projects with stakeholders, teammates, and management
• Work closely with the Product, Data Engineering, and Business Development teams to stay current on the latest product rollouts and their data and financial impacts
• Promote and drive a self-service data culture by developing self-service data models, building easy-to-use tools and dashboards, and teaching business users how to use them

About You

Minimum Requirements:

• 5+ years of hands-on experience in BI, Data Science, or Data engineering
• Bachelor’s Degree or equivalent
• AdvancedSQL experience and dashboard building
• Highly effective written and verbal communication skills
• Proven ability to prioritize work and deliver finished products on tight deadlines
• Ability to communicate and coordinate with cross-functional teams, gather information, perform root cause analysis, and recommend solutions to business problems
• Positive attitude and enthusiasm for Instacart, your team, partners, and stakeholders

Preferred Requirements: 

• Familiarity with: Snowflake/Databricks/BigQuery or similar data warehouses, DBT/Apache Airflow or similar orchestration tools, Github, and Jira 
• Familiarity with Visualization Tools: Mode, Tableau, or similar
• Understanding of financial concepts, common accounting practices, and system solutions
• Exposure to SOX compliance best practices, including practical applications and experience with ITGCs

Come join our Artificial Intelligence team

Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.

What you will do

As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data, and providing actionable recommendations for innovative products that can be built into the Karat platform as we scale. Collaborating with a small team of Engineers, you will innovate on top of the Company’s internal and external data, leverage cutting-edge AI technology like LLMs, carry complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.

• Lead projects in close partnership with engineering teams to increase the signal captured during technical interviews, maximizing the product value provided to clients.
• Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
• Lead projects and mentor teammates working in the Data Science and AI realms across all teams and products.
• Partner with business stakeholders to understand the Company’s business challenges, develop hypotheses, and propose data-driven solutions to those challenges.
• Present complex findings and insights to non-technical audiences, influencing decision-makers across the organization.
• Stay abreast of the latest advancements in Data Science, Machine Learning, and AI, and proactively identify opportunities to apply emerging technologies to Karat’s business needs.
• Lead the dialogue within Karat about AI, Data Science and Machine Learning.

The experience you will bring

• 5+ years of tech industry experience in Data Science, Machine Learning, AI, or other related roles
• Strong expertise in programming languages such as Python, and proficiency in using relevant data science libraries and frameworks
• Experience with cloud platforms (e.g., AWS, Azure, GCP), data engineering pipeline and tools such as dbt, airflow, and model deployment process
• Proven track record leading Data Science, Machine Learning or AI projects that have delivered significant business impact
• Exceptional problem-solving skills with the ability to translate business challenges into data-driven solutions
• Deep understanding of statistical analysis, data manipulation, and data visualization techniques
• Excellent communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences
• Strong fluency in written and spoken English

Applicants, please note: submissions not 100% in English will not be considered.

Legal Employment Statement 

Karat is a U.S. company. In order to work with individuals outside of the United States, we partner with a Professional Employer Organization (PEO). If hired for this position, your legal employer will be the PEO. This means your payroll, benefits offered, time off, etc., will be offered and managed by them.

Come join our Artificial Intelligence team

Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.

What you will do

As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data, and providing actionable recommendations for innovative products that can be built into the Karat platform as we scale. Collaborating with a small team of Engineers, you will innovate on top of the Company’s internal and external data, leverage cutting-edge AI technology like LLMs, carry complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.

• Lead projects in close partnership with engineering teams to increase the signal captured during technical interviews, maximizing the product value provided to clients.
• Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
• Lead projects and mentor teammates working in the Data Science and AI realms across all teams and products.
• Partner with business stakeholders to understand the Company’s business challenges, develop hypotheses, and propose data-driven solutions to those challenges.
• Present complex findings and insights to non-technical audiences, influencing decision-makers across the organization.
• Stay abreast of the latest advancements in Data Science, Machine Learning, and AI, and proactively identify opportunities to apply emerging technologies to Karat’s business needs.
• Lead the dialogue within Karat about AI, Data Science and Machine Learning.

The experience you will bring

• 5+ years of tech industry experience in Data Science, Machine Learning, AI, or other related roles
• Strong expertise in programming languages such as Python, and proficiency in using relevant data science libraries and frameworks
• Experience with cloud platforms (e.g., AWS, Azure, GCP), data engineering pipeline and tools such as dbt, airflow, and model deployment process
• Proven track record leading Data Science, Machine Learning or AI projects that have delivered significant business impact
• Exceptional problem-solving skills with the ability to translate business challenges into data-driven solutions
• Deep understanding of statistical analysis, data manipulation, and data visualization techniques
• Excellent communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences
• Strong fluency in written and spoken English

Applicants, please note: submissions not 100% in English will not be considered.

Legal Employment Statement 

Karat is a U.S. company. In order to work with individuals outside of the United States, we partner with a Professional Employer Organization (PEO). If hired for this position, your legal employer will be the PEO. This means your payroll, benefits offered, time off, etc., will be offered and managed by them.

Come join our Artificial Intelligence team

Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.

What you will do

As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data, and providing actionable recommendations for innovative products that can be built into the Karat platform as we scale. Collaborating with a small team of Engineers, you will innovate on top of the Company’s internal and external data, leverage cutting-edge AI technology like LLMs, carry complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.

This is a Salary, Exemptposition. Immigration sponsorshipis notavailable.

• Lead projects in close partnership with engineering teams to increase the signal captured during technical interviews, maximizing the product value provided to clients.
• Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
• Lead projects and mentor teammates working in the Data Science and AI realms across all teams and products.
• Partner with business stakeholders to understand the Company’s business challenges, develop hypotheses, and propose data-driven solutions to those challenges.
• Present complex findings and insights to non-technical audiences, influencing decision-makers across the organization.
• Stay abreast of the latest advancements in Data Science, Machine Learning, and AI, and proactively identify opportunities to apply emerging technologies to Karat’s business needs.
• Lead the dialogue within Karat about AI, Data Science and Machine Learning.

The experience you will bring

• 5+ years of tech industry experience in Data Science, Machine Learning, AI, or other related roles
• Strong expertise in programming languages such as Python, and proficiency in using relevant data science libraries and frameworks
• Experience with cloud platforms (e.g., AWS, Azure, GCP), data engineering pipeline and tools such as dbt, airflow, and model deployment process
• Proven track record leading Data Science, Machine Learning or AI projects that have delivered significant business impact
• Exceptional problem-solving skills with the ability to translate business challenges into data-driven solutions
• Deep understanding of statistical analysis, data manipulation, and data visualization techniques
• Excellent communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences

About JWP:

JWP is transforming the Digital Video Economy as a trusted partner for over 40,000 broadcasters, publishers, and video-driven brands through our cutting-edge video software and data insights platform. JWP empowers customers with unprecedented independence and control over their digital video content. Established in 2004 as an open-source video player, JWP has evolved into the premier force driving digital video for businesses worldwide. With a rich legacy of pioneering video technology, JWP customers currently generate 8 billion video impressions/month and 5 billion minutes of videos watched/month. At JWP, everyone shares a passion for revolutionizing the digital video landscape. If you are ready to be a part of a dynamic and collaborative team then join us in shaping the future of video! 

The Data Engineering Team: 

At JWP, our data team is a dynamic and innovative team, managing the data lifecycle, from ingestion to processing and analysis, touching every corner of our thriving business ecosystem. Engineers on the team play a pivotal role in shaping the company's direction by making key decisions about our infrastructure, technology stack, and implementation strategies. 

The Opportunity: 

As a Senior Data Engineer, you will:

• Contribute to the development of distributed batch and real-time data infrastructure.
• Mentor and work closely with junior engineers on the team. 
• Perform code reviews with peers. 
• Lead small to medium sized projects, documenting and ticket writing the projects. 
• Collaborate closely with Product Managers, Analysts, and cross-functional teams to gather insights and drive innovation in data products. 

Requirements for the role:

• Minimum 5+ years of backend engineering experience with a passionate interest for big data.
• Expertise with Python or Java and SQL. 
• Familiarity with Kafka
• Experience with a range of datastores, from relational to key-value to document
• Demonstrate humility, empathy, and a collaborative spirit that fuels team success. 

Bonus Points:

• Data engineering experience, specifically with data modeling, warehousing and building ETL pipelines
• Familiarity with AWS - in particular, EC2, S3, RDS, and EMR
• Familiarity with Snowflake
• Familiarity with Elasticsearch
• Familiarity with data processing tools like Hadoop, Spark, Kafka, and Flink
• Experience with Docker, Kubernetes, and application monitoring tools
• Experience and/or training with agile methodologies
• Familiarity with Airflow for task and dependency management

Perks of being at JWP, United States

Our goal is to take care of you and ensure you will be successful in your new role. Your success is our success! 

As a full time employee, you will qualify for:

• Private Medical, Vision and Dental Coverage for you and your family
• Unlimited Paid Time Off
• Stock Options Purchase Program
• Quarterly and Annual Team Events
• Professional Career Development Program and Career Development Progression
• New Employee Home Office Setup Stipend
• Monthly Connectivity Stipend
• Free and discounted perks through JWP's benefit partners
• Bi-Annual Hack Weeks for those who are interested in using their coding knowledge
• Fireside chats with individuals throughout JWP

*Benefits are subject to location and can change at the discretion of the Company. 

Check out our social channels:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Overview

At Instacart, our mission is to create a world where everyone has access to the food they love and more time to enjoy it together. Millions of customers every year use Instacart to buy their groceries online, and the Data Engineering team is building the critical data pipelines that underpin all of the myriad of ways that data is used across Instacart to support our customers and partners.

About the Role 

The Finance data engineering team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart’s products. This role is an exciting opportunity to join a key team shaping the post-IPO financial data vision and roadmap for the company.

About the Team 

Finance data engineering is part of the Infrastructure Engineering pillar, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. Our team collaborates closely with product teams to capture critical data needed for financial use cases.

About the Job 

• You will be part of a team with a large amount of ownership and autonomy.
• Large scope for company-level impact working on financial data.
• You will work closely with engineers and both internal and external stakeholders, owning a large part of the process from problem understanding to shipping the solution.
• You will ship high quality, scalable and robust solutions with a sense of urgency.
• You will have the freedom to suggest and drive organization-wide initiatives.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines.
• Expert with SQL and  knowledge of Python.
• Experience building high quality ETL/ELT pipelines.
• Past experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Experience building data pipelines for accounting/billing purposes.
• Experience with cloud-based data technologies such as Snowflake, Databricks, Trino/Presto, or similar.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• A strong sense of ownership, and an ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor’s degree in Computer Science, computer engineering, electrical engineering OR equivalent work experience.
• Experience with Snowflake, dbt (data build tool) and Airflow
• Experience with data quality monitoring/observability, either using custom frameworks or tools like Great Expectations, Monte Carlo etc

#LI-Remote

​​About the Role:

As an Analyst on the Marketing Analytics team at Hims & Hers, you would be responsible for analyzing marketing campaign performance, implementing measurement and attribution strategies, and delivering insights and recommendations around business growth drivers. You will partner cross-functionally with Engineering, Product, and Marketing to drive acquisition and customer value growth for the business.

You Will:

• Analyze detailed marketing campaign performance, customer data, and business growth levers to identify insights and tactical recommendations
• Investigate the root causes of data anomalies and trends
• Present key findings and recommendations to a wide range of audiences
• Develop and automate dashboards and reporting that are critical to business stakeholder decision-making
• Contribute to marketing attribution models and measurement initiatives such as test planning and design
• Enable and evangelize self-service analytics through which we empower stakeholders to explore data and perform high-level analysis

You Have:

• 1-3+ years experience as an analyst, writing complex queries, visualizing results, and delivering insights
• Bachelor's degree in Business Administration, Marketing, Computer Science, Engineering, or related field, or relevant years of work experience
• Strong SQL skills are a requirement; must be able to understand and author complex SQL queries, understand database schemas, and optimize query performance
• Hands-on experience working with a modern analytics tech stack spanning comparable tools across the following categories:
• Business intelligence/reporting tools: (Looker, Tableau, Mode, etc.)
• Data warehouses: (Google BigQuery, AWS, Snowflake, etc.)
• Scheduling or orchestration: (dbt, Airflow, etc.)
• An understanding of the marketing business domain, particularly applications such as conversion lift testing, multi-touch attribution, and Marketing Mix Modeling (MMM)
• Experience with web analytics (e.g. Amplitude, Google Analytics, etc.) and app analytics tools (e.g. Branch, AppsFlyer, etc.)
• Familiarity with statistical experimentation and A/B testing principles
• Python proficiency preferred: familiarity with Jupyter notebooks, pandas, scikit-learn, etc.
• Results-oriented with strong project management and communications skills

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

​​About the Role:

As a Manager of Product Analytics you and your team will shape the customer experience through high quality experimental design and hypothesis testing. You will work cross-functionally with product managers, growth leads, and marketing managers in a fast paced collaborative environment. Your knowledge of A/B testing and digital analytics combined with your background in experimental design will allow Hims and Hers to build best-in-class customer experiences. This position will report to the Senior Manager of Product Analytics.

You Will:

• Build best-in-class customer experiences by testing into sticky product experiences
• Build business-facing dashboards and do in-depth analyses that state both the statistical significance and the business impact of an experiment
• Work with your team to define and curate the experimentation roadmap for the product and growth teams
• Enable data self-service by designing templates that are easy to understand using relevant KPIs
• Define the success of tests as well as recommended improvements to the product from the results
• Collaborate cross-functionally across analytics teams, engineering teams, and the growth team to improve the customer experience
• Distill our knowledge of  tests into playbooks, that can be implemented and utilized to help us transform our digital experience
• Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences and lifecycle communications
• Partner with cross-functional teams including product, engineering, growth, and finance to align analytics initiatives with business objectives
• Conduct deep-dive analyses to answer specific business questions and provide actionable recommendations to product, marketing, and operational teams

You Have:

• 5+ years of analytics experience
• 4+ years of experience in A/B testing
• Experience working with subscription metrics
• Experience working with CRM data and lifecycle communication
• A strong work ethic and the drive to learn more and understand a problem in detail
• Strong organizational skills with an aptitude to manage long-term projects from end to end
• Strong SQL skills 
• Expert working with GitHub
• Experience programming in Python, SAS, or R 
• Experience in data modeling and statistics with a strong knowledge of experimental design and statistical inference 
• Advanced knowledge of data visualization and BI in Looker or Tableau
• Ability to explain technical analyses to non-technical audiences

A Big Plus If You Have:

• 6+ years of analytics experience
• Advanced degree in Statistics, Mathematics, or a related field
• Experience with incentives and loyalty programs
• Experience with price testing and modeling price elasticity
• Experience with telehealth concepts
• Project management experience 
• Extensive experience working with Data Engineering
• Model development and training (Predictive Modeling)
• DBT, airflow, and Databricks experience

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

About JWP:

JWP is transforming the Digital Video Economy as a trusted partner for over 40,000 broadcasters, publishers, and video-driven brands through our cutting-edge video software and data insights platform. JWP empowers customers with unprecedented independence and control over their digital video content. Established in 2004 as an open-source video player, JWP has evolved into the premier force driving digital video for businesses worldwide. With a rich legacy of pioneering video technology, JWP customers currently generate 8 billion video impressions/month and 5 billion minutes of videos watched/month. At JWP, everyone shares a passion for revolutionizing the digital video landscape. If you are ready to be a part of a dynamic and collaborative team then join us in shaping the future of video! 

The Data Engineering Team: 

At JWP, our data team is a dynamic and innovative team, managing the data lifecycle, from ingestion to processing and analysis, touching every corner of our thriving business ecosystem. Engineers on the team play a pivotal role in shaping the company's direction by making key decisions about our infrastructure, technology stack, and implementation strategies. 

The Opportunity: 

As a Data Engineer, you will:

• Contribute to the development of distributed batch and real-time data infrastructure.
• Mentor and work closely with junior engineers on the team. 
• Perform code reviews with peers. 
• Lead small to medium sized projects, documenting and ticket writing the projects. 
• Collaborate closely with Product Managers, Analysts, and cross-functional teams to gather insights and drive innovation in data products. 

Requirements for the role:

• Minimum 3+ years of backend engineering experience with a passionate interest for big data.
• Expertise with Python or Java and SQL. 
• Familiarity with Kafka
• Experience with a range of datastores, from relational to key-value to document
• Demonstrate humility, empathy, and a collaborative spirit that fuels team success. 

Bonus Points:

• Data engineering experience, specifically with data modeling, warehousing and building ETL pipelines
• Familiarity with AWS - in particular, EC2, S3, RDS, and EMR
• Familiarity with Snowflake
• Familiarity with Elasticsearch
• Familiarity with data processing tools like Hadoop, Spark, Kafka, and Flink
• Experience with Docker, Kubernetes, and application monitoring tools
• Experience and/or training with agile methodologies
• Familiarity with Airflow for task and dependency management

Perks of being at JWP, United States

Our goal is to take care of you and ensure you will be successful in your new role. Your success is our success! 

As a full time employee, you will qualify for:

• Private Medical, Vision and Dental Coverage for you and your family
• Unlimited Paid Time Off
• Stock Options Purchase Program
• Quarterly and Annual Team Events
• Professional Career Development Program and Career Development Progression
• New Employee Home Office Setup Stipend
• Monthly Connectivity Stipend
• Free and discounted perks through JWP's benefit partners
• Bi-Annual Hack Weeks for those who are interested in using their coding knowledge
• Fireside chats with individuals throughout JWP

*Benefits are subject to location and can change at the discretion of the Company. 

Check out our social channels:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Meet the Team:

This team is looking for someone with the combined technical and management experience to create the next generation of on-road autonomous driving technology, meeting customer needs as effectively and efficiently as possible. Works closely with cross-functional teams to define actionable work plans to achieve product milestones, integrate plans with organizational leaders, obtain feedback from stakeholders, and maintain a backlog of work that reflects end-user requirements and company objectives. Owns the product development plan across relevant engineering teams, represents the plan to executive management, and serves as a subject matter expert.

What you'll do:

• Accountable for ensuring consistent delivery of critical projects that meet the company's objectives, coordinating efforts and resources, identifying, and removing organizational barriers to execution as the internal representative of the customer to the engineering organization.
• Responsible for analyzing and communicating product initiatives to development teams, leadership, and other stakeholders. Break down the product initiatives into department-level quarterly plans.
• Analyze top-level product requirements to develop associated department-level plans for components that advance the virtual driver product towards commercial launch.
• Create strong working relationships and maintain effective communication across all product development teams, informing others of new features and release timelines, and soliciting frequent feedback from stakeholders for action.
• Build trust and strong working relationships with the technical subject matter experts and principal engineers that steward the technical roadmap.
• Consult with relevant technical experts and synthesize their input with your own technical and industry knowledge to create and define a balanced product development backlog which drives teams towards the most cost-effective path to commercial launch.
• Cohesively and succinctly present quarterly departmental plans based on cross-functional dependencies for evaluation and approval by engineering leadership at the executive level.
  
• Represent product development plans, showcase recent development efforts in regular reviews, and synthesize changes in urgency to resolve product issues within the applicable department.
  
• Partner with engineering leadership to define timelines/milestones, identify/mitigate risks, recommend resource allocation, track progress, resolve dependencies, and resolve bottlenecks.
  
• Set clear, actionable development team workloads that deliver epic acceptance criteria that cleanly support initiative-level acceptance criteria, delegate tasks and set deadlines.
  
• Monitor epic status and report metrics for management recognition. Clarify metrics and measurable goals to identify work, clarify urgency and importance, follow-up and verify solutions/results, measure success, review for continuous improvement and effective time management.
  
• Provide candid and constructive feedback to development team members that maximizes team goals and individual employee potential. Report any issues of concern to managers.
  
• Create a motivating and inspiring development team environment with an open communication culture. Act proactively to ensure smooth development team operations and effective collaboration.
  
• Drive a culture of continuous improvement. Identify process gaps and/or new areas of focus for continuously improving engineering planning, communication, and execution.

What you’ll need to Succeed:

• Demonstrates competences and technical proficiencies typically acquired through:
  • BS+ 4+ years of experience OR MS+ 3+ years of experience
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment. 
• We are looking for a TPM with the experience in one of the following fields: 
  • Data Systems
    • Experience with different database architectures, including but not limited to relational and NoSQL databases, data warehousing and clustered, distributed data stores.
    • Experience with Python libraries for applied data science (Pandas, Plotly, Matplotlib, Dask, TensorFlow).
    • Experience with AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena).
    • Experience with workflow patterns using directed acyclic graphs (Apache Airflow, AWS Step Functions).
    • Familiarity with machine learning operations and the data and artifacts that they produce.

Bonus Points!

• Experience with different mapping formats, strategies, and developing pipelines to deploy maps to different environments.

Perks of Being a Full-time Torc’r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:  

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• Company-wide holiday office closures
• AD+D and Life Insurance 

Who Are You

We are seeking a highly skilled and experienced ML Platform Architect to join our dynamic and growing data platform team. As an ML Platform Architect, you will play a crucial role in strengthening and expanding the core of our data products. We want you to help us scale our business, to data-driven decisions, and to contribute to our overall data strategy. You will work alongside talented data platform engineers to envision how all the data elements from multiple sources should fit together and then execute that plan. The ideal candidate must: 

• Effectively communicate complex data problems by tailoring the message to the audience and presenting it clearly and concisely. 
• Balance multiple perspectives, disagree, and commit when necessary to move key company decisions and critical priorities forward.
• Have a profound comprehension of data quality, governance, and analytics.
• Have the ability to work independently in a dynamic environment and proactively approach problem-solving.
• Be committed to driving positive business outcomes through expert data handling and analysis.
• Be an example for fellow engineers by showcasing customer empathy, creativity, curiosity, and tenacity.
• Have strong analytical and problem-solving skills, with the ability to innovate and adapt to fast-paced environments.
• Design and build clear, understandable, simple, clean, and scalable solutions.

What You'll Do

• Modernize Signifyd’s Machine Learning (ML) Platform to scale for resiliency, performance, and operational excellence working closely with Engineering and Data Science teams across Signifyd’s R&D group.
• Create and deliver a technology roadmap focused on advancing our data processing capabilities, which will support the evolution of our real-time data processing and analysis capabilities.
• Work alongside ML Engineers, Data Scientists, and other Software Engineers to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
• Take full ownership of significant portions of our data processing products, including collaborating with stakeholders on machine learning models, designing large-scale data processing solutions, creating additional processing facets and mechanisms, and ensuring the support of low-latency, high-quality, high-scale decisioning for Signifyd’s flagship product.
• Architect, deploy, and optimize Databricks solutions on AWS, developing scalable data processing solutions to streamline data operations and enhance data solution deployments.
• Implement data processing solutions using Spark, Java, Python, Databricks, Tecton, and various AWS services (S3, Redshift, EMR, Athena, Glue).
• Mentor and coach fellow engineers on the team, fostering an environment of growth and continuous improvement.
• Identify and address gaps in team capabilities and processes to enhance team efficiency and success.

What You'll Need

• Ideally has over 10 years of experience in data engineering, including at least 5 years of experience as a data or machine learning architect or lead. Have successfully navigated the challenges of working with large-scale data processing systems.
• Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing, with strong Apache Spark or Databricks experience.
• Experience in building low-latency, high-availability data stores for use in real-time or near-real-time data processing with programming languages such as Python, Scala, Java, or JavaScript/TypeScript, as well as data retrieval using SQL and NoSQL.
• Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.), and Kafka. Understand the trade-offs of various architectural approaches and recommend solutions suited to our needs.
• Experience with the latest technologies and trends in Data, ML, and Cloud platforms.
• Demonstrable ability to lead and mentor engineers, fostering their growth and development. 
• You have successfully partnered with Product, Data Engineering, Data Science and Machine Learning teams on strategic data initiatives.
• Commitment to quality, you take pride in delivering work that excels in data accuracy, performance and reliability, setting a high standard for the team and the organization.

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

Overview

The centralized Data and Analytics team at Recharge delivers critical analytic capabilities and insights for Recharge’s business and customers. 

As a Senior Data Engineer, you will build scalable data pipelines and infrastructure that power internal business analytics and customer-facing data products.  Your work will empower data analysts to derive deeper strategic insights from our data, and will  enable developers to build applications that surface data insights directly to our merchants. 

What you’ll do

• Build data pipeline, ELT and infrastructure solutions to power internal data analytics/science and external, customer-facing data products.

• Create automated monitoring, auditing and alerting processes that ensure data quality and consistency.

• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models

• Design, develop, implement, and optimize existing ETL processes that merge data from disparate sources for consumption by data analysts, business owners, and customers

• Seek ways to continually improve the operations, monitoring and performance of the data warehouse

• Influence and communicate with all levels of stakeholders including analysts, developers, business users, and executives.

• Live by and champion our values: #day-one, #ownership, #empathy, #humility.

What you’ll bring

• Typically, 5+ years experience in a data engineering related role (Data Engineer, Data Platform Engineer, Analytics Engineer etc) with a track record of building scalable data pipeline, transformation, and platform solutions. 

• 3+ years of hands-on experience designing and building data pipelines and models  to ingesting, transforming and delivery of large amounts of data, from multiple sources into a Dimensional (Star Schema) Data Warehouse, Data Lake.

• Experience with a variety of data warehouse, data lake and enterprise data management platforms (Snowflake {preferred}, Redshift, databricks, MySQL, Postgres, Oracle,  RDS, AWS, GCP)

• Experience building data pipelines, models and infrastructure powering external, customer-facing (in addition to internal business facing) analytics applications.

• Solid grasp to data warehousing methodologies like Kimball and Inmon

• Experience working with a variety of ETL tools. (FiveTran, dbt, Python etc)

• Experience with workflow orchestration management engines such as Airflow & Cloud Composer

• Hands on experience with Data Infra tools like Kubernetes, Docker

• Expert proficiency in SQL

• Strong Python proficiency

• Experience with ML Operations is a plus.

About the job:

We're looking for an energetic and experienced Senior Technical Program Managerto join our Data Platform Engineering team. Our team is responsible for enabling H&H business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, Engineering) by providing a platform with a rich set of data and tools to leverage. 

As a senior TPM within the Data Platform team, you’ll work closely with our Product and Engineering teams to understand their roadmaps, architecture, and data. You’ll also work with our consumers of the data platform to better understand their data needs. You’ll take your passion for working with people and leveraging your technical skills to move quickly, efficiently, and decisively to connect the dots and help our team deliver.

You Will:

• Build strong cross-functional relationships to understand our product data and the needs/uses of data
• Create requirements and technical specifications
• Track and manage project risks, dependencies, status, and deliverable timelines
• Help drive Data Platform strategies
• Work with stakeholders to understand requirements and negotiate solutions and timelines
• Communicate and make sure the right people have the correct information in time
• Work within our Data Platform Engineering team to help build out ticketed work and provide details to translate requirements and benefits to that work
• Ensure the highest business value is being delivered to our stakeholders
• Establish mechanisms to optimize team effectiveness
• Lead prioritization meetings and status meetings with stakeholders at a regular cadence
• Collaborate with other technical program managers to highlight dependencies with different domains
• You will have a bias for action, a sense of urgency, and attention to detail that makes you someone your team can instinctively trust and rally behind
• Drive continuous process improvements and best practices to create a robust, predictable, priority-driven culture
• Collaborate with legal to ensure data privacy and compliance are followed and implemented
• Organize and facilitate daily stand-up, sprint planning, sprint retrospectives, and backlog grooming sessions

You Have:

• Minimum of 8+ years experience as a data-oriented Technical Program Manager, Technical Product Manager, or Lead capacity
• Bachelor's degree in Computer Science, Engineering, or related field, or relevant years of work experience
• Experience working with Data Platform Engineering teams to ship scalable data products and technical roadmaps
• Previous experience building data platforms on the cloud using Databricks or Snowflake
• Proficiency in Jira or other project management tools
• Knowledge of modern data stacks like Airflow, Databricks, Google BigQuery, dbt, Fivetran
• Ability to understand different data domains and technical requirements
• Experience collaborating with different stakeholders such as Analytics, ML, Finance, Product, Marketing, Operations, and Customer Experience teams
• Solid understanding of data pipelines
• Knowledge of SQL to independently investigate and test datasets, perform data validation, sketch solutions, and create basic proofs of concept
• Experience working with management to define and measure KPIs and other operating metrics
• Extensive experience working on Data Security and Data Governance initiatives
• A Foundational understanding of Amazon Web Services (AWS) or Google Cloud Platform (GCP)
• Understanding of SDLC and Agile frameworks
• Strong project management skills with attention to detail and experience in managing multiple projects and meeting ongoing and overlapping deadlines 
• Bias towards over-communication
• Team player, collaborative, and positive attitude
• Strong leadership and communication skills
• Excellent writing, oral, and presentation skills
• Ability to influence without authority
• Passion for operational excellence, attention to detail, and a demonstrated ability to deliver results in a fast-paced, high-growth environmen

Nice To Have:

• Experience working in healthcare 
• Previous working experience at startups
• A basic understanding of data streaming technologies (eg, Kafka, RabbitMQ), Git, Atlan, and Terraform is a big plus 
• Working experience with BI tools like Tableau and Looker

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

About the Role:

At Tubi, data plays a vital role in keeping viewers engaged and the business thriving. Every day, data engineering pipelines analyze the massive amount of data generated by millions of viewers, turning it into actionable insights. In addition to processing TBs a day of 1st party user activity data, we manage a petabyte scale data lake and data warehouses that several hundred consumers use daily. We have two openings on two different teams.

Core Data Engineering (1):In this role, you will join a team focused on Core Data Engineering, helping build and analyze business-critical datasets that fuel Tubi's success as a leading streaming platform.

• Use SQL and SQL modeling to interact with and create massive sets of data
• Use DBT and its semantic modeling concept to build production data models
• Use Databricks as a data warehouse and computing platform
• Use Python/Scala in notebooks to interact with and create large datasets

Streaming Analytics (1):In this role you will join a small and nimble team focused on Streaming Analytics that power our core and critical datasets for machine learning, helping improve the data quality that fuels Tubi's success as a leading streaming platform.

• Use SQL to explore and analyze the data quality of our most critical datasets, working with different technical stakeholders across ML & data science 
• Work with engineers to implement a near-time data quality dashboard
• Use Python/Scala in notebooks to transform and explore large datasets
• Use tools like Airflow for workflow management and Terraform for cloud infrastructure automation

Qualifications: 

• Fluency (intermediate) in one major programming language (preferably Python, Scala, or Java) and SQL (any variant)
• Familiar with big data technologies (e.g., Apache Spark, Kafka) is a plus
• Strong communication skills and a desire to learn!

Program Eligibility Requirements:

• Must be actively enrolled in an accredited college or university and pursuing an undergraduate or graduate degree during the length of the program
• Current class standing of sophomore (second-year college student) or above
• Strong academic record (minimum cumulative 3.0 GPA)
• Committed and available to work for the entire length of the program

About the Program:

• Application Deadline: April 19, 2024 
• Program Timeline: 10-week placement beginning on6/17
• Weekly Hours: Up to 40 hours per week (5 days)
• Worksite:  Remote or Hybrid (SF or LA)