About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app and Tile tracking devices empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 66 million monthly active users (MAU) across more than 150 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends that basically are family). 

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within Canada) regardless of any specified location above. 

About the Job

At Life360, we collect a lot of data: 60 billion unique location points, 12 billion user actions, 8 billion miles driven every single month, and so much more. As a Staff Data Engineer, you will contribute to enhancing and maintaining our data processing and storage pipelines/workflows for a robust and secure finance data lake. You should have a strong engineering background and even more importantly a desire to take ownership of our data systems to make them world class.

The Canada-based salary range for this position is$190,000to $240,000 CAD. We take into consideration an individual's background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You’ll Do

Primary responsibilities include, but are not limited to:

• Design, implement, and manage scalable data processing platforms used for real-time analytics and exploratory data analysis.
• Manage our financial data from ingestion through ETL to storage and batch processing.
• Automate, test and harden all data workflows.
• Architect logical and physical data models to ensure the needs of the business are met.
• Collaborate with finance and analytics teams, while applying best practices
• Architect and develop systems and algorithms for distributed real-time analytics and data processing
• Implement strategies for acquiring data to develop new insights
• Mentor junior engineers, imparting best practices and institutionalizing efficient processes to foster growth and innovation within the team

What We’re Looking For

• Minimum 5+ years of experience working with high volume data infrastructure.
• Experience with Databricks, AWS, dbt, ETL and Job orchestration tooling.
• Extensive experience programming in one of the following languages: Python / Java.
• Experience in data modeling, optimizing SQL queries, and system performance tuning.
• You are proficient with SQL, AWS, Databases, Apache Spark, Spark Streaming, EMR, and Kinesis/Kafka
• Experience working with freemium models, tiered subscriptions, Subscriptions Billing Systems (Apple, Google, Recurly, Chargebee), integrations with systems like NetSuite Financials, and tax district and currency conversion providers.
• Experience in modern development lifecycle including Agile methodology, CI/CD, automated deployments using Terraform, GitHub Actions etc.
• Knowledge and proficiency in the latest open source and data frameworks, modern data platform tech stacks and tools.
• Always be learning and staying up to speed with the fast moving data world.
• You have good communication skills and can work independently
• BS in Computer Science, Software Engineering, Mathematics, or equivalent experience

Our Benefits

• Competitive pay and benefits
• Medical, dental, vision, life and disability insurance plans 
• RRSP plan with DPSP company matching program
• Employee Assistance Program (EAP) for mental well being
• Flexible PTO, several company wide days off throughout the year
• Winter and Summer Week-long Synchronized Company Shutdowns
• Learning & Development programs
• Equipment, tools, and reimbursement support for a productive remote environment
• Free Life360 Platinum Membership for your preferred circle
• Free Tile Products

Life360 Values

Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference 

• Be a Good Person - We have a team of high integrity people you can trust. 
• Be Direct With Respect - We communicate directly, even when it’s hard.
• Members Before Metrics - We focus on building an exceptional experience for families. 
• High Intensity High Impact - We do whatever it takes to get the job done. 

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.  

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote

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UK Remote or Belfast

Serial tech entrepreneur Ilir Sela started Slice in 2010 with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over 18,000 restaurants (that’s nearly triple Domino’s U.S. network!) with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in.

The Challenge to Solve

Provide Slice with up to date data to grow the business and to empower independent pizzeria owners to make the best data driven decisions through insights that ensure future success.

The Role

You will be responsible for leading data modelling and dataset development across the team. You’ll be at the forefront of our data strategy. Partnering closely with business and product teams,  to fuel data-driven decisions throughout the company. Your leadership will guide our data architecture expansion, ensuring smooth data delivery and maintaining top-notch data quality. Drawing on your expertise, you’ll steer our tech choices and keep us at the cutting edge of the field. You’ll get to code daily and provide your insights into best practices to the rest of the team.

The Team

You’ll work with a team of skilled data engineers daily, providing your expertise to their reviews, as well as working on your own exciting projects with teams across the business. You’ll have a high degree of autonomy and the chance to impact many areas of the business. You will optimise data flow and collection for cross-functional teams and support software developers, business intelligence, and data scientists on data initiatives using this to help to support product launches and supporting Marketing efforts to grow the business. This role reports to the Director of Data Engineering.

The Winning Recipe

We’re looking for creative, entrepreneurial engineers who are excited to build world-class products for small business counters. These are the core competencies this role calls for:

• Strong track record of designing and implementing modern cloud data processing architectures using programming languages such as Java, Scala, or Python and technologies like Spark
• Expert-level SQL skills
• Extensive experience in data modelling and design, building out the right structures to deliver for various business and product domains
• Strong analytical abilities and a history of using data to identify opportunities for improvement and where data can help drive the business towards its goals
• Experience with message queuing, stream processing using frameworks such as Flink or KStreams and highly scalable big data data stores, as well as storage and query pattern design with NoSQL stores
• Proven leadership skills, with a track record of successfully leading complex engineering projects and mentoring junior engineers, as well as working with cross-functional teams and external stakeholders in a dynamic environment
• Familiarity with serverless technologies and the ability to design and implement scalable and cost-effective data processing architectures

The Extras

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Access to medical, dental, and vision plans
• Flexible working hours
• Generous time off policies
• Annual conference attendance and training/development budget
• Market leading maternity and paternity schemes
• Discounts for local pizzerias (of course)

The Hiring Process

Here’s what we expect the hiring process for this role to be, should all go well with your candidacy. This entire process is expected to take 1-3 weeks to complete and you’d be expected to start on a specific date.

1. 30 minute introductory meeting
2. 30 minute hiring manager meeting
3. 60 minute pairing interview
4. 60 minute technical interview
5. 30 minute CTO interview
6. Offer!

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

Privacy Notice Statement of Acknowledgment

When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations. If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time.For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail:privacy@slicelife.com

Company Description

Healthcare providers spend roughly $20B annually on premiums for medical professional liability (“MPL”) insurance, $5-6B of which is spent for physicians. Incumbent carriers utilize outdated risk selection, underwriting, and sales processes. For the first time in 10 years, The MPL market is currently in a hardening cycle. While incumbent carriers are increasing rates to make up for underwriting losses, the environment is ripe for an innovative disruptor to capture market share by deploying artificial intelligence.

Rubicon Founders, an entrepreneurial firm focused on building and growing transformational healthcare companies, has launched Indigo to address this issue. Backed by Oak HC/FT, this company will disrupt the medical professional liability market by offering more competitive products to providers. Benefitting from significant potential cost savings as a result, providers may reallocate resources to invest more directly in patient or staff care. This company intends to fulfill Rubicon Founder’s mission of creating enduring value by impacting people in a measurable way.   

Position Description

Are you an expert data engineer with a passion for making a difference in the healthcare industry? If so, we want you to join our team at Indigo, where we're using technology to transform medical professional liability insurance. Our AI driven underwriting process and modern technology streamline the insurance process and equip quality physicians and groups with the coverage they need.

As a senior data engineer you will own the various data components of our system, which includes our data model architecture, our data pipeline / ETL, and any ML data engineering needs. You will help us leverage existing data platforms and databases with best practices to ensure that the data strategy is coherent, that our data systems are highly available, secure, and scalable. You will work with cross-functional teams including business stakeholders, product managers, and data scientists to ensure our data pipeline system meets business requirements and adheres to best practices.  

We are a remote distributed team who gathers with intention. You will thrive here if you find energy working from home and getting together to build relationships. At Indigo, you'll have the opportunity to contribute to a meaningful mission that makes a difference in the lives of healthcare providers and their patients.

Responsibilities:

• Design and build the Indigo data pipeline and ETL process.
• Design and build the Indigo application datastore architecture and implementation 
• Define a governance and lineage strategy.
• Define and implement security across our data systems.
• Participate in code reviews and ensure the code is of high quality.
• Collaborate with cross-functional teams including product and engineering to understand business requirements and translate them into technical requirements.
• Keep up to date with emerging trends in data engineering and contribute to improving our development processes.
  
  

Requirements:

• Bachelor’s degree in CS or similar; masters advantageous
• 5+ years of data engineering experience 
• Expert SQL and Python or Javascript (Node.js)
• Experience with AWS services such as EC2, Lambda, RDS, DynamoDB, and S3.
• Experience with Snowflake, dbt
• Strong understanding of data design principles
• Experience designing and building data products from concept to productization.
• Experience with automation in the processes of data definition, migration.
• Excellent design and problem-solving skills.
• Self starter, highly autonomous, thrives in a remote distributed environment

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 Invoca:

Invoca is the industry leader and innovator in AI and machine learning-powered Conversation Intelligence. With over 300 employees, 2,000+ customers, and $100M in revenue, there are tremendous opportunities to continue growing the business. We are building a world-class SaaS company and have raised over $184M from leading venture capitalists including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures.

About the Engineering Team:

You’ll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between.

We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other.

Learn more about the Invoca development team on our blog and check out our open source projects.

You Will:

Invoca offers a unique opportunity to make massive contributions to machine learning and data science as it applies to conversation intelligence, marketing, sales and user experience optimization.

You are excited about this opportunity because you get to:

• Design and develop highly performant and scalable data storage solutions
• Extend and enhance the architecture of Invoca’s data infrastructure and pipelines
• Deploy and fine-tune machine learning models within an API-driven environment, ensuring scalability, efficiency, and optimal performance.
• Expand and optimize our Extract, Transform, and Load (ETL) processes to include various structured and unstructured data sources within the Invoca Platform.
• Evaluate and implement new technologies as needed and work with technical leadership to drive adoption.
• Collaborate with data scientists, engineering teams, analysts, and other stakeholders to understand data requirements and deliver solutions on behalf of our customers
• Support diversity, equity and inclusion at Invoca

At Invoca, our Senior Data Engineers benefit from mentorship provided by experts spanning our data science, engineering, and architecture teams. Our dedicated data science team is at the forefront of leveraging a blend of cutting-edge technology, including our proprietary and patented solutions, along with tools from leading vendors, to develop an exceptionally scalable data modeling platform.

Our overarching objective is to seamlessly deliver models through our robust API platform, catering to both internal stakeholders and external clients. Your pivotal role will focus on optimizing model accessibility and usability, thereby expediting model integration within our feature engineering teams. Ultimately, this streamlined process ensures swift model adoption, translating to enhanced value for our customers.

You Have:

We are excited about you because you have:

• 3+ years of professional experience in Data Engineering or a related area of data science or software engineering
• Advanced proficiency in Python, including expertise in data processing libraries (e.g.,  spaCy, Pandas), data visualization libraries (e.g., Matplotlib, Plotly), and familiarity with machine learning frameworks
• Advanced proficiency using python API frameworks (e.g., FastAPI, Ray/AnyScale, AWS Sagemaker) to build, host. and optimize machine learning model inference APIs.
• Intermediate proficiency working with the Databricks platform (e.g. Unity Catalog, Job/Compute, Deltalake) (or similar platform) for data engineering and analytics tasks
• Intermediate proficiency working with the Machine Learning and Large Language Model (LLM) tools from AWS (e.g., Sagemaker, Bedrock) or other cloud vendors such Azure, or Google Cloud Platform
• Intermediate proficiency with big data technologies and frameworks  (e.g., Spark, Hadoop)
• Intermediate proficiency with SQL and relational databases (e.g., MySQL, PostgreSQL)
• Basic proficiency in several areas apart from pure coding, such as monitoring, performance optimization, integration testing, security and more
• Basic proficiency with Kafka (or similar stream-processing software) is a plus
• Bachelor's Degree or equivalent experience preferred

Salary, Benefits & Perks:

Teammates begin receiving benefits on the first day of the month following or coinciding with one month of employment. Offerings include:

• Paid Time Off -Invoca encourages a work-life balance for our employees. We have an outstanding PTO policy starting at 20 days off for all full-time employees. We also offer 16 paid holidays, 10 days of Compassionate Leave, days of volunteer time, and more.
• Healthcare -Invoca offers a healthcare program that includes medical, dental, and vision coverage. There are multiple plan options to choose from. You can make the best choice for yourself, your partner, and your family.
• Retirement - Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
• Stock options - All employees are invited to ownership in Invoca through stock options.
• Employee Assistance Program -Invoca offers well-being support on issues ranging from personal matters to everyday-life topics through the WorkLifeMatters program.
• Paid Family Leave -Invoca offers up to 6 weeks of 100% paid leave for baby bonding, adoption, and caring for family members.
• Paid Medical Leave - Invoca offers up to 12 weeks of 100% paid leave for childbirth and medical needs.
• Sabbatical -We thank our long-term team members with an additional week of PTO and a bonus after 7 years of service.
• Wellness Subsidy - Invoca provides a wellness subsidy applicable to a gym membership, fitness classes, and more.
• Position Base Range - $139,500 to $175,000Salary Range / plus bonus potential
• Please note, per Invoca's COVID-19 policy, depending on your vaccine verification status, you may be required to work only from home / remotely. At this time, travel and in-person meetings will require verification. This policy is regularly reviewed and subject to change at any time

Recently, we’ve noticed a rise in phishing attempts targeting individuals who are applying to our job postings. These fraudulent emails, posing as official communications from Invoca aim to deceive individuals into sharing sensitive information. These attacks have attempted to use our name and logo, and have tried to impersonate individuals from our HR team by claiming to represent Invoca. 

We will never ask you to send financial information or other sensitive information via email. 

DEI Statement

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

#LI-Remote

Your impact

At Handshake, we are assembling a team of dynamic engineers who are passionate about creating high-quality, impactful products. As a Senior Data Engineer, you will play a key role in driving the architecture, implementation, and evolution of our cutting-edge data platform. Your technical expertise will be instrumental in helping millions of students discover meaningful careers, irrespective of their educational background, network, or financial resources.

Our primary focus is on building a robust data platform that empowers all teams to develop data-driven features while ensuring that every facet of the business has access to the right data for making informed conclusions. While this individual will work closely in collaboration with our ML teams, they will also be supporting our businesses data needs as a whole.

Your role

• Technical leadership: Taking ownership of the data engineering function and providing technical guidance to the data engineering team. Mentoring junior data engineers, fostering a culture of learning, and promoting best practices in data engineering.
• Collaborating with cross-functional teams: Working closely with product managers, product engineers, and other stakeholders to define data requirements, design data solutions, and deliver high-quality, data-driven features.
• Data architecture and design: Designing and implementing scalable and robust data pipelines, data services, and data products that meet business needs and adhere to best practices. Staying abreast of emerging technologies and tools in the data engineering space, evaluating their potential impact on the data platform, and making strategic recommendations.
• Performance optimization: Identifying performance bottlenecks in data processes and implementing solutions to enhance data processing efficiency.
• Data quality and governance: Ensuring data integrity, reliability, and security through the implementation of data governance policies and data quality monitoring.
• Advancing our Generative AI strategy: Leveraging your Data Engineering knowledge to design and implement data pipelines that support our Generative AI initiatives, advising and working in collaboration with our ML teams.

Your experience

• Extensive data engineering experience: A proven track record in designing and implementing large-scale, complex data pipelines, data warehousing solutions, and data services. Deep knowledge of data engineering technologies, tools, and frameworks.
• Cloud platform proficiency: Hands-on experience with cloud-based data technologies, preferably Google Cloud Platform (GCP), including BigQuery, DataFlow, BigTable, and more
• Advanced SQL skills: Strong expertise in SQL and experience with data modeling and database design conventions.
• Problem-solving abilities: Exceptional problem-solving skills, with the ability to tackle complex data engineering challenges and propose innovative solutions.
• Collaborative mindset: A collaborative and team-oriented approach to work, with the ability to communicate effectively with both technical and non-technical stakeholders.

Bonus areas of expertise

• Machine learning for data enrichment: Experience in applying machine learning techniques to data engineering tasks for data enrichment and augmentation.
• End to end data service deployment, comfortable with product alignment of data-driven initiatives
• Containerization and orchestration: Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes.
• dbt: Experience with dbt as a data transformation tool for orchestrating and organizing data pipelines.

Compensation range

$173,000-$213,580