Design and build the data foundation for AI-powered health experiences and decision sciences
Build and own data pipelines across both streaming and batch paradigms, from ingestion to serving.
Keep the platform reliable and the data trustworthy
Define and track SLAs (Service Level Agreements) and SLOs (Service Level Objectives) for the pipelines you own, and hold yourself accountable to them.
Deliver with ownership and grit
Take projects from ambiguous requirements to production, working through technical blockers, cross-functional dependencies, and competing priorities without losing momentum.
Make it easy for teams to own their data
Build tooling for service and application teams that helps them effectively manage their data and data processes.
Build with compliance and trust at the center
Implement data handling practices that meet HIPAA, GDPR, and CCPA requirements including PII (Personally Identifiable Information) handling, access controls, data retention, and making production data safely available in non-production environments.
Raise the bar for the team around you
Participate in hiring and mentor junior engineers.

Bachelor’s Degree in Computer Science or related technical degree
5+ years of data engineering experience with a proven track record of building and owning reliable production pipelines
5+ years of strong proficiency in Python and SQL
3+ years of experience in processing and storing large scale data using distributed systems as well as a mastery of database designs and data modeling including star and snowflake schemas.
2+ years of experience working with broad spectrum of data stores like PostgreSQL, MySQL, MongoDB, Redis, databricks and Redshift
3+ years of experience deploying and operating pipelines in the cloud including CI/CD, monitoring, and incident response
3+ years of experience building streaming and batch pipelines using tools such as Spark, Kafka, Flink, and Airflow
1+ year experience working with dbt
1+ years of experience with AI tools for code generation (cursor, claude code)
1+ years of experience with orchestration tools (Airflow, Prefect, or Dagster) including scheduling, retries, alerting, and SLAs.

Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
Modern life stipends: Manage your own learning and development.
Grow with us through discounted company stock through our ESPP with easy payroll deductions.

Senior Data Engineer

Key skills