Lead Data Engineer, Data Platform

Vida Health

2d • $165,000 - $175,000 • Remote

About The Position

At Vida, we help people get better- and we're helping the healthcare system get better, too.

Vida is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage obesity and related conditions like diabetes, high blood pressure, anxiety and depression. Vida's team of Obesity Medicine-Certified Physicians, Registered Dietitians, Expert Coaches and Licensed Therapists takes a whole-person approach to care, helping people lose weight, reduce stress and improve their overall health.

By combining advanced technology with top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. It's trusted by Fortune 100 companies, major national payers and large providers to enable their employees to live their healthiest lives.

Vida is authorized to do business in many, but not all, states. If you are not located in or able to work from a state where Vida is registered, you will not be eligible for employment. Please speak with your recruiter to learn more about where Vida is registered.

Please note: Applicants must be authorized to work in the U.S. as Vida is unable to sponsor work visas for any position.
All Vida Employees must reside in/be able to work from the U.S.- international work is prohibited.

Vida Health is seeking a Lead Data Engineer to own the reliability and integrity of the data platform that powers our clinical programs, billing and partner reporting.

You will own how data flows through Vida—from ingestion through governed outputs, ensuring the pipelines behind member care, revenue and client commitments are accurate, observable and resilient. This means building the foundations that catch failures early, isolate breakages and let engineering teams ship with confidence.

Requirements

• Bachelors Degree at a minimum.
• 7+ years in data engineering, with meaningful ownership of production pipelines and quality systems.
• Deep dbt experience—you've maintained real deployments, not just prototypes.
• Strong SQL and data modeling instincts, with an eye for performance and cost.
• Python fluency for tooling, validation and automation.
• Hands-on experience with data quality monitoring: contracts, freshness checks, schema enforcement and alerting.
• Have led or mentored small engineering teams, formally or informally.
• You think in systems—and you fix root causes, not just symptoms.

Responsibilities

• Own end-to-end reliability for core data pipelines—from ingestion through billing and reporting outputs.
• Build observability foundations: health dashboards, tiered alerting and on-call signals that are actionable, not noisy.
• Harden data ingestion with typed staging, quarantine patterns, freshness gates and safe backfill and replay capabilities.
• Enforce schema contracts and quality validation so failures are caught in CI, not discovered by stakeholders.
• Establish clear boundaries between governed core data and downstream BI and reporting layers.
• Lead incident retrospectives that fix root causes, not just symptoms, and reduce future on-call burden.
• Mentor 2–4 data engineers through code reviews, pairing and growth conversations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level