Senior Data Engineer (Data Platform)
Vida Health
- United States
- Senior Level
- 5+ years
- Bachelor's degree
- Posted
Skills
Required
- SQL
- data modeling
- Python
- building production data systems
- cloud data platform
- storage
- query performance
- dimensional modeling
- pipelines, services
- tooling
- schema changes
- backfills
Preferred
- documenting technical decisions
- asynchronous data pipelines
- failure modes
Join Vida, a leading health technology company, as a Senior Data Engineer. In this role, you will shape the data platform that supports much of Vida's business. You will own data systems and domains end to end, make architecture decisions, and help other engineers make good decisions about data infrastructure. You will work with data from health plans, employers, clinical programs, and internal systems. The ideal candidate will have 5+ years of experience building production data systems, strong SQL and data modeling fundamentals, and proficiency in Python.
Responsibilities
- Posséder des systèmes et des domaines de données de production de l'ingestion à la livraison.
- Concevoir des modèles de données avec une granularité, des clés, une histoire et des définitions claires.
- Améliorer les performances des pipelines, l'observabilité et la gestion des échecs.
- Clear written communication, including documenting technical decisions and explaining changes to people outside of engineering
- Experience designing and operating batch and asynchronous data pipelines, including the failure modes that appear in distributed systems
Requirements
Bachelor's degree at a minimum
- Experience with a cloud data platform and an understanding of storage, query performance, and cost
- Strong SQL and data modeling fundamentals, including grain, keys, history, dimensional modeling, and the tradeoffs between different representations of the same data
- The ability to change production systems in ordered, reversible steps without breaking their consumers
- Working proficiency in Python for pipelines, services, tooling, and tests
- You do not need previous healthcare experience or experience with every technology we use
- Strong instincts around data correctness, including validation, idempotency, late and duplicated records, schema changes, backfills, and reprocessing
- 5+ years building production data systems
Pay
USD 160,000 - 170,000
