Senior Data Engineer - Remote Health Data Platform Lead

Vida; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Vida is a virtual, personalized obesity care provider using evidence-based treatment to help patients and improve the healthcare system. We are seeking a Senior Data Engineer to shape Vida's data platform, owning data pipelines end to end—from ingestion to delivery—and making architecture decisions that scale with our health data ecosystem.

You will work with plans, employers, clinical programs, and internal systems across identity, eligibility, claims, billing, reporting, and analytics to

Qualifications

• Bachelor's degree at a minimum.
• 5+ years building production data systems.
• Strong SQL and data modeling fundamentals, including grain, keys, history, dimensional modeling, and the tradeoffs between different representations of the same data.
• Experience designing and operating batch and asynchronous data pipelines, including the failure modes that appear in distributed systems.
• Experience with a cloud data platform and an understanding of storage, query performance, and cost.
• Strong instincts around data correctness, including validation, idempotency, late and duplicated records, schema changes, backfills, and reprocessing.
• Working proficiency in Python for pipelines, services, tooling, and tests.
• The ability to change production systems in ordered, reversible steps without breaking their consumers.
• Clear written communication, including documenting technical decisions and explaining changes to people outside of engineering.
• You do not need previous healthcare experience or experience with every technology we use.

Responsibilities

• Own production data systems and domains 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 so the same question doesn't get two different answers.
• Evolve schemas, pipelines, and datasets safely, with retries, backfills, and replay that don't corrupt or duplicate data.
• Improve pipeline performance, observability, and failure handling so you can tell when something is wrong and why.
• Work with Engineering, Product, Operations, and Analytics to figure out what the data needs to represent when requirements are incomplete or messy.
• Additional responsibilities as needed.

Skills

SQL

Data modeling

Python

Data pipelines

Cloud data platform

Observability

Data quality

Documentation

Communication

Education

Bachelor's degree

Job description

Vida is a virtual, personalized obesity care provider using evidence-based treatment to help patients and improve the healthcare system. We are seeking a Senior Data Engineer to shape Vida's data platform, owning data pipelines end to end—from ingestion to delivery—and making architecture decisions that scale with our health data ecosystem.

You will work with plans, employers, clinical programs, and internal systems across identity, eligibility, claims, billing, reporting, and analytics to