Senior Data Engineer - Data Platform

About Us

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. By combining advanced technology with top-notch healthcare providers, Vida is breaking down barriers to ensure people get the best care possible.

Vida is looking for a Senior Data Engineer to help shape the data platform that supports much of Vida's business. Our team builds and operates systems that ingest, validate, transform, and serve data across Vida, working with information from health plans, employers, clinical programs, and internal systems.

Responsibilities

• Own production data systems and domains end-to-end from ingestion through delivery.
• Design ingestion patterns that handle incomplete, duplicated, delayed, malformed, and changing partner data.
• Define the contracts between source systems, ingestion, transformation, and downstream consumers.
• Design data models with clear grain, keys, history, and definitions to ensure data consistency.
• Evolve schemas, pipelines, and datasets safely, implementing retries, backfills, and replays that prevent data corruption or duplication.
• Improve pipeline performance, observability, and failure handling.
• Collaborate with Engineering, Product, Operations, and Analytics to translate complex and incomplete requirements into robust data representations.

Qualifications

• Bachelor's degree at a minimum.
• 5+ years of experience 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 navigating the failure modes of distributed systems.
• Experience with cloud data platforms and an understanding of storage, query performance, and cost.
• Strong instincts around data correctness, validation, idempotency, late/duplicated records, schema changes, and backfills.
• Working proficiency in Python for pipelines, services, tooling, and tests.
• Ability to modify production systems in ordered, reversible steps without breaking consumers.
• Clear written communication skills, including documenting technical decisions and explaining changes to non-engineering stakeholders.

Please note: Applicants must be authorized to work in the U.S. as Vida is unable to sponsor work visas for this position. All Vida employees must reside in and be able to work from the U.S.