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Vida Health is a virtual, personalized obesity care provider combining evidence-based treatment with advanced technology. The company works with Fortune 100 companies, major national payers, and large providers to deliver comprehensive care addressing obesity and related conditions like diabetes, hypertension, anxiety, and depression.
As Senior Data Engineer on the Data Platform team, you will own production data systems and domains end-to-end, from ingestion through delivery. The platform ingests and processes data from health plans, employers, clinical programs, and internal systems covering member identity, eligibility, claims, billing, reporting, and analytics.
Key responsibilities include:
- Owning production data systems and domains from ingestion through delivery
- Designing ingestion patterns that handle incomplete, duplicated, delayed, malformed, and changing partner data
- Defining contracts between source systems, ingestion, transformation, and downstream consumers
- Designing data models with clear grain, keys, history, and definitions to ensure consistency
- Evolving schemas, pipelines, and datasets safely with retries, backfills, and replay mechanisms
- Improving pipeline performance, observability, and failure handling
- Collaborating with Engineering, Product, Operations, and Analytics teams to clarify data requirements
You will make architecture decisions, change production systems safely, and guide other engineers on data infrastructure best practices.
Requirements:
- Bachelor's degree minimum
- 5+ years building production data systems
- Strong SQL and data modeling fundamentals (grain, keys, history, dimensional modeling)
- Experience designing and operating batch and asynchronous data pipelines, including distributed systems failure modes
- Experience with cloud data platforms and understanding of storage, query performance, and cost optimization
- Strong instincts around data correctness (validation, idempotency, late/duplicated records, schema changes, backfills, reprocessing)
- Working proficiency in Python for pipelines, services, tooling, and tests
- Ability to change production systems in ordered, reversible steps without breaking consumers
- Clear written communication and technical documentation skills
- Healthcare experience and familiarity with all technologies used are not required
