Senior Data Engineer

SENIOR DATA ENGINEER

Remote, US Based (California Excluded)

The Opportunity

Join a fast growing, physician led healthcare services company that brings primary care, behavioral health, geriatric care, palliative care, and chronic disease management directly into skilled nursing and assisted living communities across the country.

The Data and Technology team is the infrastructure behind how this company scales its care model. They pull data from EHRs, claims, labs, payers, and CMS into a unified platform that drives clinical insights, operational visibility, and value based care outcomes. This is a true greenfield build. The company is standing up a brand new AWS data warehouse and engineering environment from scratch as part of a broader core systems replacement, targeting a November go live.

This is a rare opportunity to be the senior technical voice shaping how the data architecture gets built. There is no legacy system to inherit and no technical debt to untangle. You will report directly to the Director of Data Architecture and Engineering and have real influence over how the environment is structured from day one.

What You'll Do

• Architect and orchestrate data pipelines pulling from EHRs, claims systems, labs, payers, and CMS through APIs, FHIR, and HL7
• Design, build, and manage the AWS data warehouse running Snowflake from the ground up
• Build and orchestrate workflows using Apache Airflow
• Set up and structure AWS environments to support in house development
• Build infrastructure that powers BI, analytics, and reporting for clinical and operational teams
• Optimize data models, storage, and query performance across the platform
• Help define data governance standards, coding practices, and testing and alerting frameworks
• Partner closely with leadership to translate business and clinical goals into data architecture decisions
• Mentor and support other engineers as the team grows

Preferred Technologies and Experience

• AWS as the primary cloud platform
• Snowflake
• Apache Airflow
• Python and SQL
• dbt
• GitHub for version control
• Experience with healthcare data standards such as HL7, FHIR, EHRs, and claims is a strong plus, though not required

What They're Looking For

• 5+ years of experience designing, building, and orchestrating data pipelines and data warehouses
• Deep, hands on AWS data engineering experience is non negotiable
• Strong Python and SQL skills
• Proven experience with Apache Airflow for pipeline orchestration and monitoring
• Comfort working independently in a greenfield environment and making architecture decisions without heavy oversight
• Experience in a high growth or startup like environment, managing ambiguity and shifting priorities
• Healthcare or healthcare data experience is a plus, but strong AWS and data engineering fundamentals matter more
• Must be authorized to work in the US without current or future sponsorship needs
• Candidates based in California cannot be considered for this role

Why This Role

• Build a data warehouse and engineering environment completely from scratch with no legacy systems to maintain
• Work on a business critical, board visible project with a clear November go live
• Report directly to a Director of Data Architecture, with an Executive and CIO interview built into the process
• Join a company actively investing in scaling its data and AI capabilities rather than just maintaining what exists
• Take on meaningful ownership over architecture decisions from your first weeks
• Play a foundational role in the technology behind a rapidly growing healthcare services company

Compensation

$125K to $200K Base plus 10% Bonus and Benefits