Senior Data Engineer – Data Platform

Vida Health

. Own production data systems and domains from ingestion through delivery.

Posted 10/7/2026full-timeRemote • United StatesSenior💰 $160,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing production data systems, with a strong focus on data modeling, pipeline design, and data correctness. Proficient in SQL and Python, with the ability to communicate technical decisions clearly to diverse stakeholders.

Highest-signal resume keywords

Production Data Systems ManagementSQL ProficiencyData Modeling FundamentalsCloud Data Platform ExperiencePython for Data Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingBatch Data PipelinesAsynchronous Data PipelinesData ValidationIdempotencySchema EvolutionData Ingestion PatternsData Pipeline PerformanceFailure Handling

Soft Skills

Clear Written CommunicationDecision-Making

Tools & Technologies

Cloud Data Platform

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

Data SystemsData InfrastructureData CorrectnessDistributed SystemsTechnical Documentation

Tech Stack

Tools & technologies

CloudDistributed SystemsPythonSQL

About the role

Key responsibilities & impact

Own production data systems and domains from ingestion through delivery.
Design ingestion patterns that handle incomplete, duplicated, delayed, malformed, and changing partner data.
Define contracts between source systems, ingestion, transformation, and downstream consumers.
Design data models with clear grain, keys, history, and definitions.
Evolve schemas, pipelines, and datasets safely with retries, backfills, and replay that avoid corruption or duplication.
Improve pipeline performance, observability, and failure handling.
Work with Engineering, Product, Operations, and Analytics to determine data requirements.
Make architecture decisions and change production systems safely.
Help other engineers make effective decisions about data infrastructure.
Perform additional responsibilities as needed.

Requirements

What you’ll need

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.
Applicants must be authorized to work in the U.S.; Vida is unable to sponsor work visas.
Employees must reside in/be able to work from the U.S.; international work is prohibited.
You do not need previous healthcare experience or experience with every technology Vida uses.

Benefits

Comp & perks

Equal Employment Opportunity and Affirmative Action employer
Reasonable accommodations for qualified individuals with disabilities and disabled veterans in job application procedures