About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Team

The Data Analytics Engineering team is responsible for developing and managing the core data platform for ratings infrastructure, architecting and implementing business-critical data solutions and pipelines, and enabling data-driven decisions within the organization and for our customers.

About the Role

As a Software Engineer (Backend) - you will work alongside outstanding engineers, refine requirements with product management and implement new products and features, focused on meeting the evolving needs of our customers. All team members actively participate in product definition, technical architecture review, iterative development, code review, and operations. Along with this, you’ll have the opportunity to interact with customers to ensure their needs are met.You will be working in a high-performance, fast-paced environment and contribute to an inclusive work environment.

We are only considering candidates located in Canada or Latin America for this position. 

Responsibilities:

• Collaborate with engineers to deliver projects from inception to successful execution
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Share engineering support, release, and on-call responsibilities for an always-on 24x7 site
• Participate in Technical Design Review sessions, and have the ability to explain the various trade-offs made in decisions
• Maintain existing APIs and data pipelines, contribute to increasing code-coverage 
• Understand requirements, build business logic and ability to learn and quickly adopt for changing needs 
• Automate and improve existing processes to sustainably maintain the current features and pipelines
• Analyze our internal systems and processes and locate areas for improvement/automation

Requirements

• BS/MS in computer science or equivalent technical experience, and must have worked in Data engineering space for 2+ years
• Must have experience in full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations 
• Technical requirements:
• Must have experience in building and maintaining big data pipelines using Scala with Spark, Airflow, Hive, Presto, Redis
• Experience in developing batch/real-time data streams to create meaningful analytics
• Worked with NoSQL databases, preferably Clickhouse, Cassandra / Scylla; and SQL databases, preferably Postgres
• Worked with CI/CD pipelines using Jenkins
• Experience with cloud environments, preferably AWS
• Worked with variety of data (structured/unstructured), data formats (flat files, XML, JSON, relational, parquet)
• Worked in Agile methodology

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position. #LI-DNI

​​About the Role:

We're looking for an experienced Principal Data Engineer to 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.

You Will:

• Serve as a technical leader within the Data Platform org. Provide expert guidance and hands-on development of complex engineering problems and projects
• Collaborate with cross-functional stakeholders including product management, engineering, analytics, and key business representatives to align the architecture, vision, and roadmap with stakeholder needs
• Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions for Analytics and AI
• Create and set best practices for data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs
• Implement and maintain data governance practices to ensure compliance, data security, and privacy.
• Design and lead development on scalable, high-performance data architecture solutions that supports both the consumer side of the business as well as analytic use cases
• Plan and oversee large-scale and complex technical migrations to new data systems and platforms
• Drive continuous data transformation to minimize technical debt
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Define and lead technology proof of concepts to ensure feasibility of new data technology solutions
• Provide technical leadership and mentorship to the members of the team, fostering a culture of technical excellence
• Create comprehensive documentation for design, and processes to support ongoing maintenance and knowledge sharing
• Conduct design reviews to ensure that proposed solutions address platform and stakeholder pain points, as well as meet business, and technical requirements, with alignment to standards and best practices
• Prepare and deliver efficient communications to convey architectural direction and how it aligns with company strategy. Be able to explain the architectural vision and implementation to executives

You Have:

• Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership
• Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lakehouses, and integrated data stores.
• Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ,
• Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper
• Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR)
• Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives
• Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data
• Analytical and problem-solving skills to address data-related challenges and find optimal solutions
• Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced and ever changing environmen

Nice To Have:

• Experience working in healthcare or in a B2C company

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

Overview

About the Role 

As a data analyst, you will be responsible for understanding and improving the quality of Instacart’s online grocery business. You will help set up scalable monitoring systems to understand our business performance for driving strategic decisions and help inform when operations or processes are broken. You will play a pivotal role in leveraging operational performance data to diagnose performance or user experience gaps in order to create data-driven recommendations to improve our product and processes. Your work will also entail supporting cross-functional data needs to facilitate improvements across multiple fronts.

About the Team 

The Platform Excellence Operations (PEO) team is dedicated to improving the quality of Instacart’s online grocery experience for our customers, shoppers, and retailers. The analytics team focuses on identifying, understanding, and eliminating defects in the online grocery experience by analyzing and interpreting operational data. The team ensures that stakeholders have a consistent understanding of why business performance is changing and advocates for improving poor experiences that may be overlooked. You’ll be part of a dynamic cross-functional team that collaborates closely with stakeholders to provide critical data insights to enhance our operations and overall customer experience.

As part of the Consumer Pillar within PEO Analytics, you will be working on problems anywhere between a customer landing on the homepage to when they contact Instacart for support after their order. Your goal is to make sense of how the customer uses Instacart and help the business understand where friction might occur in the shopping or contact funnel.

About the Job 

Metrics and Reporting 

• Work with XFN stakeholders to create 'source of truth' dashboards and future-proof, flexible dashboards.
• Monitor performance fluctuations and outliers in key performance metrics within the customer funnel to understand root causes and determine if corrective actions are required

Data Analysis

• Analyze large text and numerical datasets within search, browse, order, and post-order contact to derive business insights
• Design new data schemas matching business needs and link them to existing data for analysis
• Define structured frameworks to measure and track against qualitative top customer problems and opportunities)
• Independently create and execute analytical plans to identify, understand, and reduce known customer problems
• Provide support in sizing initiatives on product and analytical roadmaps

Presentations and Communication

• Create and present insights decks to a XFN audience of business leaders, Product Managers, Product Operations and engineers on a weekly cadence
• Approach problems with a solutions-oriented mindset by developing business cases with clear logical narratives backed by data that result in actionable recommendations

Leadership and Mentorship

• Help elevate the team’s technical acumen through mentorship and initiating learning opportunities
• Provide thought leadership to Pillar Lead when planning future strategic initiatives for the team 

About You

Minimum Qualifications

• 3+ years experience in a data analytics related role (e.g. data science, business intelligence, corporate strategy, consulting, etc)
• Experience analyzing and visualizing large datasets
• Ability to aggregate and synthesize large amounts of data and leverage a deep understanding of micro and macro fulfillment metrics and systems to drive insights
• Strong problem solving skills - able to quickly detect anomalies in performance metrics and trends, form hypothesis for investigation, and draw conclusions by conducting nuanced analysis
• Strong verbal and written communication skills, including the ability to lead meetings and synthesize complex topics by creating compelling narratives for various stakeholders
• Advanced proficiency of SQL and Excel / GSheets for data analysis
• Proficient with Powerpoint / GSlides for effective communication
• The ideal candidate will have a knack for identifying unusual patterns, a keen eye for detail, and is passionate about investigating problems to determine root causes.
• Effective prioritization and ability to balance quality and speed in a time constrained environment
• Ability to work independently with a strong sense of ownership
• Comfortable proposing new ideas to challenge the business and rally stakeholder champions behind it

Preferred Qualifications

• Experience working with consumer shopping funnel or post-order contact data
• Experience in optimizing data models and queries for performance
• 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
• Proficiency in Python or R for data analysis and visualizations
• Experience working directly with product/engineering teams on scalable process solutions

#LI-REMOTE

Senior Product Analyst

100% Remote (U.S. Based Only, Select States - See Below)

About the role

As a Senior Product Analyst, you will use hands-on proven data analysis skills to help contribute to StyleSeat’s Analytics function. You'll be deeply involved in driving decision-making across all aspects of the business, from exploratory analysis to better understand our customers, to building data pipelines that democratize a standard level of data across the company.

You will work closely with Product and Engineering teams to define and answer key questions, as well as enabling stakeholders & supporting a data-driven culture. This role will be fully embedded within a product squad (PM, Designer, QA, Engineers, and you - the Analyst), but also have the opportunity for personal growth by supporting other areas of the business as well: Customer Experience, Finance, Product Marketing, etc.

What you’ll do

• Lead the ideation and execution of product changes that drive growth, by partnering with Product, Engineering, Design, and Marketing
• Design A/B tests and analyze results to inform strategic decision-making & next steps
• Translate analytical insights into actionable recommendations for business and process improvements, presenting all the way up to senior leadership
• Design and assist in building analytical infrastructure (Reporting, Dashboards, Pipelines, and Analyses)
• Work with business stakeholders to recommend data standards and best practices to align the way we measure, think, and talk about our Product + Business
• Routinely communicate metrics, trends and other key indicators to Leadership
• Utilize your personal data-driven tendencies to explore your own curiosities within the data – going off the beaten path to identify areas for improvement + growth

Who you are 

Successful candidates can come from a variety of backgrounds, yet here are some of the critical experiences we’re looking for:

Main Responsibilities:

• 4+ years of relevant experience in product analytics/data science, or other quantitative disciplines
• Experience working with large datasets and an ability to write complex SQL queries
• Experience translating business objectives into actionable analyses, and explaining technical concepts and implications to a broad, non-technical audience
• Experience with data visualization tools/techniques (Tableau preferred, Looker, Quicksight, Amplitude, etc)
• Proficiency in designing/building data pipelines or using ETL tools
• Experience working directly embedded within product squads, going deep into the user problems or pain points and solving them with data

Nice to haves:

• Knowledgeable in one or more advanced data pipeline tools: Airflow, DBT, Hevo
• Experience with Python
• Experience in B2B2C marketplace, eCommerce, or B2C organization
• Experience at a startup or late-stage growth company

Some year 1 deliverables:

• Develop framework (reporting, metrics, dimensions) from the ground up for a central & rapidly growing area of the business – our Client experience
• Utilize said framework to generate insights and create active recommendations to inform our product roadmap ranging from impacts of current sprint to quarters away.
• Actively present findings & recommendations to not only product stakeholders but senior stakeholders across the organization, following up and ensuring they are actionable

Desired traits 

• Strong product mindset and knowledge, with the ability to drive roadmaps & PMs with data
• Curiosity - a natural drive to find out and explain why things happen.
• The ability to tell a story with data, and the ability to explain technical matters to less technical co-workers
• A strong and adaptable communicator who can ably interact with executives
• Ability to manage projects simultaneously while understanding which to prioritize alongside their stakeholder partners

Salary Range

Our job titles may span more than one career level. The career level we are targeting for this role has a base pay between $112,000 and $140,000.The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. Base pay ranges are subject to change and may be modified in the future. 

Who we are 

StyleSeat is the premier business platform for SMBs in the beauty and wellness industry to run and grow their business; and destination for consumers to discover, book and pay. To date, StyleSeat has powered more than 200 million appointments totaling over $12 billion in revenue for small businesses.StyleSeat is a platform and marketplace designed to support and promote the beauty and personal care community. 

Today, StyleSeat connects consumers with top-rated beauty professionals in their area for a variety of services, including hair styling, barbering, massage, waxing, and nail care, among others. Our platform ensures that Pros maximize their schedules and earnings by minimizing gaps and cancellations, effectively attracting and retaining clientele.

StyleSeat Culture & Values 

At StyleSeat, our team is committed to fostering a positive and inclusive work environment. We respect and value the unique perspectives, experiences, and skills of our team members and work to create opportunities for all to grow and succeed. 

• Diversity - We celebrate and welcome diversity in backgrounds, experiences, and perspectives. We believe in the importance of creating an inclusive work environment where everyone can thrive. 
• Curiosity- We are committed to fostering a culture of learning and growth. We ask questions, challenge assumptions, and explore new ideas. 
• Community - We are committed to making a positive impact on each, even when win-win-win scenarios are not always clear or possible in every decision. We strive to find solutions that benefit the community as a whole and drive our shared success.
• Transparency - We are committed to open, honest, and clear communication. We hold ourselves accountable for maintaining the trust of our customers and team.
• Entrepreneurship - We are self-driven big-picture thinkers - we move fast and pivot when necessary to achieve our goals. 

Applicant Note: 

StyleSeat is a fully remote, distributed workforce, however, we only have business entities established in the below list of states and, thus are unable to consider candidates who live in states not on this list for the time being. **Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

* Arizona

* Alabama

* California

* Colorado

* Florida

* Georgia

* Illinois

* Indiana

* Massachusetts

* Maryland

* Michigan

* Nebraska

* New York

* New Jersey 

* Ohio

* Oregon

* Pennsylvania

* Virginia

* Washington

OVERVIEW

About the Role

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

As a Senior Software Engineer in our Data Platform team, you will be the technical force that shapes our data infrastructure. You will design, develop, and maintain comprehensive access controls and governance frameworks to safeguard the integrity and privacy of our data. Your work will elevate the data utilization across several departments, enabling valuable insights, informed decision-making, and driving business value.

About the Team

The Data Platform team provides a robust and cutting edge platform to process petabytes of data daily using industry best practices. We work closely with Product/Data Science/ML teams to understand their needs and provide high quality solutions. The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Data Strategy and building the platform that Instacart data lake will be built upon. Instacart's technology is constantly changing and adapting. Some of the technologies you would use at Instacart include: Scala, Python, Postgres, Snowflake, DeltaLake, Iceberg, Clickhouse, Spark, DBT, Flink Kafka, Airflow If you have experience with these technologies, you will have the opportunity to dive deeper. If you haven't used these technologies you will have the chance to learn from the collective experience of our team.

About the Job

Your responsibilities will include:

• Designing, developing, and sustaining the comprehensive access controls and governance systems that improve the integrity and privacy of our data.
• Ensuring the reliability, scalability, and security of the data platform.
• Collaborating with various stakeholders and actively involve in the data infrastructure.

About you

Minimum Qualifications

We are looking for someone who:

• Has 5+ years of experience in software engineering.
• Exhibits an in-depth understanding of distributed systems, with proven experience with data processing technologies such as DBT and Airflow, and common web frameworks such as Rails.
• Proficiently uses SQL for writing and reviewing complex queries for data analysis and debugging.
• Can design for scale with the entire system in mind.
• Capably communicates and is comfortable seeking and receiving feedback.
• Possesses strong analytical and debugging skills.
• Takes a strong sense of ownership while working with large codebases and diverse suite of products.
• Embraces a collaborative mindset to partner with engineers, designers, and PMs from multiple teams to co-create impactful solutions while supporting system contributions.
• Communicates clearly, presents ideas well, and can influence key stakeholders at manager, director, and VP levels.

Preferred Qualifications

We would love it if you:

• Holds a Bachelor’s degree in Computer Science, Software Engineering, or a related field, or can demonstrate equivalent industry experience (4+ years).
• Have prior work experience in Data Platforms.
• Hold experience with big data technologies such as Spark, Hadoop, Flink, Hive, or Kafka, and with both streaming and batching data pipelines.
• Have proven experience with distributed system designs.
• Possess strong general programming and algorithm skills.
• Show strong attention to detail and accuracy in your implementation.
• Have a strong experience writing complex and optimized SQL queries.
• Appreciate a data-driven mindset.

OVERVIEW

ABOUT THE ROLE

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

ABOUT THE TEAM

The Data Platform team provides a robust and cutting edge platform to process petabytes of data daily using industry best practices. We work closely with Product/Data Science/ML teams to understand their needs and provide high quality solutions.The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution.Your input will be critical for driving the Data Strategy and building the platform that Instacart data lake will be built upon.Instacart's technology is constantly changing and adapting. Some of the technologies you would use at Instacart include:Scala, Python, Postgres, Snowflake, DeltaLake, Iceberg, Clickhouse, Spark, DBT, Flink Kafka, Airflow

If you have experience with these technologies, you will have the opportunity to dive deeper. If you haven't used these technologies you will have the chance to learn from the collective experience of our team.

ABOUT THE JOB

• You will work closely with other teams to understand their main pain points and translate them into self-serve and reliable solutions.
• You are expected to mentor other team members and be a champion of engineering excellence.
• You will be part of a small team, with a large amount of ownership and autonomy for managing things directly.
• You will have the freedom to suggest and drive organization-wide initiatives.

ABOUT YOU

MINIMUM QUALIFICATIONS

• Self-motivation and an enjoyment for a startup environment
• A strong sense of ownership
• Strong knowledge of common data infra technologies (Python, Scala, Kafka, Airflow, Spark, Iceberg, Delta Lake) in a production environment
• Strong knowledge of common industry data stores or warehouses (Postgres, ElasticSearch, Cassandra, Dynamo, Snowflake)
• 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.
• Strong knowledge of SQL
• 10+ years of working experience in a similar field/environment

PREFERRED QUALIFICATIONS

Bachelor’s degree in Computer Science, computer engineering, electrical engineering ORequivalent work experience

What this job can offer you

This is an exciting time to join the growing Data Team at Remote, which today consists of over 15 Data Engineers, Analytics Engineers and Data Analysts spread across 10+ countries. Throughout the team we're focused on driving business value through impactful decision making. We're in a transformative period where we're laying the foundations for scalable company growth across our data platform, which truly serves every part of the Remote business. This team would be a great fit for anyone who loves working collaboratively on challenging data problems, and making an impact with their work. We're using a variety of modern data tooling on the AWS platform, such as Snowflake and dbt, with SQL and python being extensively employed.

This is an exciting time to join Remote and make a personal difference in the global employment space as a Senior Data Engineer, joining our Data team, composed of Data Analysts and Data Engineers. We support the decision making and operational reporting needs by being able to translate data into actionable insights to non-data professionals at Remote. We’re mainly using SQL, Python, Meltano, Airflow, Redshift, Metabase and Retool.

What you bring

• Experience in data engineering; high-growth tech company experience is a plus
• Strong experience with building data extraction/transformation pipelines (e.g. Meltano, Airbyte) and orchestration platforms (e.g. Airflow)
• Strong experience in working with SQL, data warehouses (e.g. Redshift) and data transformation workflows (e.g. dbt)
• Solid experience using CI/CD (e.g. Gitlab, Github, Jenkins)
• Experience with data visualization tools (e.g. Metabase) is considered a plus
• A self-starter mentality and the ability to thrive in an unstructured and fast-paced environment
• You have strong collaboration skills and enjoy mentoring
• You are a kind, empathetic, and patient person
• Writes and speaks fluent English
• It's not required to have experience working remotely, but considered a plus

Key Responsibilities

• Playing a key role in Data Platform Development & Maintenance:
  • Managing and maintaining the organization's data platform, ensuring its stability, scalability, and performance.
  • Collaboration with cross-functional teams to understand their data requirements and optimize data storage and access, while protecting data integrity and privacy.
  • Development and testing architectures that enable data extraction and transformation to serve business needs.
• Improving further our Data Pipeline & Monitoring Systems:
  • Designing, developing, and deploying efficient Extract, Load, Transform (ELT) processes to acquire and integrate data from various sources into the data platform.
  • Identifying, evaluating, and implementing tools and technologies to improve ELT pipeline performance and reliability.
  • Ensuring data quality and consistency by implementing data validation and cleansing techniques.
  • Implementing monitoring solutions to track the health and performance of data pipelines and identify and resolve issues proactively.
  • Conducting regular performance tuning and optimization of data pipelines to meet SLAs and scalability requirements.
• Dig deep into DBT Modelling:
  • Designing, developing, and maintaining DBT (Data Build Tool) models for data transformation and analysis.
  • Collaboration with Data Analysts to understand their reporting and analysis needs and translate them into DBT models, making sure they respect internal conventions and best practices.
• Driving our Culture of Documentation:
  • Creating and maintaining technical documentation, including data dictionaries, process flows, and architectural diagrams.
  • Collaborating with cross-functional teams, including Data Analysts, SREs (Site Reliability Engineers) and Software Engineers, to understand their data requirements and deliver effective data solutions.
  • Sharing knowledge and offer mentorship, providing guidance and advice to peers and colleagues, creating an environment that empowers collective growth

Practicals

• You'll report to: Engineering Manager - Data
• Team: Data 
• Location:For this position we welcome everyone to apply, but we will prioritise applications from the following locations as we encourage our teams to diversify; Vietnam, Indonesia, Taiwan and South-Korea
• Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equitypayalong with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce.  We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is $53,500 USD to $131,300 USD. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

Application process

1. Interview with recruiter
2. Interview with future manager
3. Async exercise stage 
4. Interview with team members

#LI-DP

​​About the Role:

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

As a Data Architect, you will focus on the big picture of an organization’s data strategy. You will work closely with other architects, engineering, product, analytics, data science, and DevOps leaders to align the data architecture with the overall business goals and objectives.

Your primary responsibility is to develop a cohesive data architecture that supports the organization’s long-term vision. You design efficient data storage structures, data models, standards, and optimize data retrieval for reporting, analytics, and AI purposes.

You Will

• Collaborate with cross-functional stakeholders including product management, engineering, analytics, and key business representatives to align the architecture, vision and roadmap with stakeholder needs
• Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions for Analytics and AI
• Create and set best practices for data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs
• Design and develop scalable, high-performance data architecture solutions that supports both the consumer side of the business as well as analytic use cases
• Implement security measures to safeguard sensitive data from unauthorized access, ensuring data privacy, and compliance with relevant regulations
• Plan and oversee large-scale and complex technical migrations to new data systems and platforms
• Drive continuous data transformation to minimize technical debt
• Display strong thought leadership in pursuit of modern data architecture principles and technology modernization
• Define and lead technology proof of concepts to ensure feasibility of new data technology solutions
• Provide technical leadership and mentorship to the members of the team
• Create comprehensive documentation for design, and processes to support ongoing maintenance and knowledge sharing
• Conduct design reviews to ensure that proposed solutions address platform and stakeholder pain points, as well as meet business, and technical requirements, with alignment to standards and best practices
• Prepare and deliver efficient communications to convey architectural direction and how it aligns with company strategy. Be able to explain the architectural vision and implementation to executives

You Have

• Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership
• Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lakehouses, and integrated data stores.
• Proficiency in a variety of technologies such as: SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper
• Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR)
• Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives
• Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data
• Analytical and problem-solving skills to address data-related challenges and find optimal solutions
• Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced and ever changing environment

Nice to Have

• Experience working in healthcare or in a B2C company

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

At HackerRank, we help over 2,500 of the most prestigious logos across industries find, hire and upskill amazing developer talent using our SaaS-based Developer Skills Platform. We pioneered and continue to lead the developer skills market. At HackerRank, we are passionate about our mission to "Change the world to value skills over pedigree".This position is full-time and remote within India.

You will be working on:

• Evaluate technologies, develop POCs, solve technical challenges and propose innovative solutions for our technical and business problems
• Delight our stakeholders, customers and partners by building high-quality, well-tested, scalable and reliable business applications.
• Design, build and maintain streaming and batch data pipelines that can scale.
• Architect, develop and maintain our Modern lake house Platform using AWS native infrastructure
• Designing Complex Data Models to deliver insights and enable self-service
• Take ownership of scaling, performance, security, and reliability of our data infrastructure
• Hiring, guiding and mentoring junior engineers
• Work in the agile development environment, participate in code reviews
• Collaborate with remote development teams and cross-functional teams

We are looking for:

• 3+ years of experience with designing, developing and maintaining data engineering & BI solutions.
• Experience with Data Modeling for Big Data Solutions.
• Experience with Spark, Spark Structured Streaming (Scala Spark)
• Experience with database technologies like Redshift or Trino
• Experience with BI Solutions like Looker, Power BI, Amazon Quicksight, Tableau etc is a big plus
• Experience with ETL Design & Orchestration using platforms like Apache Airflow, MageAI etc is a big plus
• Experience querying massive datasets using Languages like SQL, Hive, Spark, Trino
• Experience with performance tuning complex data warehouses and queries.
• Able to solve problems of scale, performance, security, and reliability
• Self-driven, initiative taker with good communication skills, ability to lead and mentor junior engineers, work with cross-functional teams, drive architecture decisions
• Knowledge of Kafka, Kafka Connect and related technologies is a huge bonus

Benefits & Perks:

We have a full package of competitive benefits and perks which include:

• One-time home office set up stipend
• Monthly Remote Work Enablement Stipend
• Professional Development Reimbursement
• Wellbeing Benefits (Headspace, etc)
• Flexible paid time off, paid leave for new parents, and flexible work hours
• Insurance for all employees (term life, personal accident, medical) along with medical insurance for their dependents
• Employee stock options

About HackerRank:

HackerRank is a Y Combinator alumnus backed by tier-one Silicon Valley VCs with total funding of over $100 million. The HackerRank Developer Skills Platform is the standard for assessing developer skills for 2,500+ companies across industries and 23M+ developers worldwide. Companies like LinkedIn, Stripe, and Peloton rely on HackerRank to objectively evaluate skills against millions of developers at every hiring process, allowing teams to hire the best and reduce engineering time. Developers rely on HackerRank to turn their skills into great jobs. We’re data-driven givers who take full ownership of our work and love delighting our customers!

HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

Notice to prospective HackerRank job applicants:
We’ve noticed fake accounts posing as HackerRank Recruiters on Linkedin and through text. These imposters trick you into paying them for jobs/providing credit check information.
Here’s how to spot the real deal:

• Our Recruiters use @hackerrank.com email addresses.
• We never ask for payment or credit check information to apply, interview, or work here.

Thanks for your interest in HackerRank!

Today, CLEAR is well-known as a leader in digital and biometric identification, reducing friction for our members wherever an ID check is needed. We’re looking for an experienced Senior Software Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Senior Software Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. 

A brief highlight of our tech stack:

• Python / Postgres / Snowflake / Airflow / Databricks / Spark / dbt
• AWS 

What you'll do:

• Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner 
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Develop and maintain data pipelines to collect, clean, and transform data. Owning end to end data product from ingestion to visualization
• Develop and implement data analytics models
• Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems
• Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR

 What you're great at:

• 6+ years of data engineering experience
• Working with cloud-based application development, and be fluent in at least a few of: 
  • Cloud services providers like AWS
  • Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc
  • Big data tools like Spark, Kafka, Snowflake, Databricks, etc
  • Collaboration, integration, and deployment tools like Github, Argo, and Jenkins 
  • Data visualization tool like Looker, Tableau, etc
• Articulating technical concepts to a mixed audience of technical and non-technical stakeholders
• Collaborating and mentoring less experienced members of the team
• Comfort with ambiguity 
• Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. The base salary range for this role is $175,000-$215,000, depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units.

About CLEAR

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 15+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

ABOUT THE ROLE

Are you ready to take your development skills to the next level? We’re looking for a Senior Software Engineer to join our Ads team. You’ll play a critical role in the evolution of our Ads suite and help build world-class reporting solutions across various platforms, ensuring that advertisers and retailers receive timely, accurate, and actionable data insights. By working closely with Product Designers, Product Managers, Data Scientists, Machine Learning Engineers, and other cross-functional partners, you’ll contribute to the advancement of our Ads suite and guarantee a seamless flow of data to our users.

The Instacart Ads team is at the forefront of refining our Ads products and supporting infrastructure, so your work will directly enhance our capability to process petabyte-scale data and deliver reports essential for billing, strategic decision-making, and partner management.

Our products are used by millions of people every year. To meet–and exceed–expectations we are rapidly improving and modernizing our ads platform, helping raise the quality bar for our products across the entire organization. Sound exciting? Keep reading.

ABOUT THE TEAM

The Ads team is a diverse group of spirited and highly-dedicated engineers focused on crafting and delivering comprehensive reporting solutions to our advertisers and retailers.

Our team thrives on dynamic challenges, and we take pride in developing and maintaining scalable and fault-tolerant metrics delivery systems. We've embraced a culture of open and candid collaboration where everyone's views matter, allowing us to continuously innovate and make substantial impact to the digital advertising industry through our work.

Our tech stack includes but is not limited to Rails, Go, DBT, Airflow, Scala, Apache Spark, Databricks, Delta Lake, Snowflake, Python and Terraform. We believe in constantly learning, growing and adopting the most efficient practices that enable us to deliver quality data services to our stakeholders. If you're a detective at heart, love solving complex problems, and are passionate about the intersection of data and technology, you'll fit right in!

Overview of the Ads teams that are currently hiring: 

• Ads Measurement & Data: The Ads Measurement & Data team is focused on developing scalable and fault-tolerant data processing systems and delivering comprehensive reporting solutions to our advertisers and retailers. 

ABOUT THE JOB

We believe that high-quality data is essential for any business organization, as such we are looking for a strong software engineer excited to raise our efficiency, quality and scalability bar. You will be able to have extensive ownership and the ability to help set best practices and contribute to product and infrastructure features. 

As a craft leader, you'll be responsible for contributing to the vision, strategy and development of our multi-platform reporting system that is efficient, scalable, and meets diverse user needs. You will advocate for data quality, correctness, scalability and latency standards to ensure consistency in how we enable data-driven decisions and features across the organization. 

You will also be proactive in spearheading new initiatives, coding and documenting components, writing and reviewing system design documents and partnering with other teams and functions to gather and understand our customer's requirements. You will think and plan strategically for short and long term initiatives to continue shaping our platform and products.

MINIMUM QUALIFICATIONS

• Bachelor's degree or higher in Computer Science, Software Engineering, or a related field, or equivalent proven industry experience (4+ years).
• 5+ years of experience in software engineering.
• Comprehensive understanding of distributed systems, proven experience with data processing technologies such as DBT and Airflow and common web frameworks such as Rails.
• Highly proficient with SQL, capable of writing and reviewing complex queries for data analysis and debugging.
• You can design for scale with the entire system in mind.
• Solid communicator, comfortable seeking and receiving feedback.
• Strong analytical and debugging skills.
• Strong sense of ownership working with a large codebase and diverse suite of products.
• A collaborative mindset to be able to partner with engineers, designers and PM's from multiple teams to co-create impactful solutions while supporting system contributions.
• Strong organizational skills with the ability to communicate and present ideas clearly and influence key stakeholders at the manager, director, and VP level.

PREFERRED QUALIFICATIONS

• Prior work experience in the digital advertising industry.
• Experience with big data technologies such as Spark, Hadoop, Flink, Hive or Kafka, and with both streaming and batching data pipelines.
• Proven experience with distributed system design.
• Strong general programming and algorithm skills.
• Strong attention to detail and accuracy in the implementation, keen eye for edge cases and code reviews. 
• Data driven mindset.