Data Engineer

Data Engineer | Austin, TX (Remote) | Up to $200,000 Per Year

The Opportunity

We are working with a rapidly growing healthcare organisation in Austin, Texas, seeking an experienced Data Engineer to play a key role in modernising its enterprise data platform.

This is more than a standard data engineering role. You will connect data from across the healthcare ecosystem, including partner organisations, laboratories, provider networks and health information exchanges, and turn it into reliable, well-structured data that clinical and business teams can depend on.

The organisation is partway through a major migration from SQL Server to Snowflake and is building towards AI-driven analytics. We are looking for someone with proven healthcare data experience, strong hands-on technical ability, a genuine ownership mindset and the experience to troubleshoot complex data issues from end to end.

Key Responsibilities

• Design, build and maintain scalable ELT/ETL pipelines using Snowflake, dbt, Azure Data Factory and Python.
• Build and optimise data models within Snowflake to support analytics, reporting and operational workflows.
• Develop and maintain API-based integrations with external partners, laboratories and healthcare data exchanges.
• Stabilise existing integration workflows on the Boomi platform and plan their migration into Snowflake.
• Support the migration of SQL Server objects, including stored procedures and SSIS packages, to Snowflake and Azure.
• Investigate and resolve pipeline failures and data issues, owning troubleshooting from source to destination.
• Ensure data accuracy, completeness and consistency across all systems and data products.
• Build data capabilities that serve both clinical and business teams, including finance.
• Maintain documentation, data lineage and data dictionaries.
• Contribute to emerging analytics engineering and applied AI initiatives.

Requirements

• 5+ years of experience in data engineering, database development or a related role.
• Healthcare IT experience is essential. Candidates must have worked with healthcare data, ideally clinical data, EHR systems (e.g. Epic), HL7 or FHIR.
• Strong, hands-on production experience with Snowflake and dbt.
• Experience building API integrations and working with external data sources.
• Advanced T-SQL and Python skills.
• Experience with Azure Data Factory or similar cloud data platforms.
• Experience working within ITIL or similar enterprise service delivery frameworks.
• A strong troubleshooting mindset and the ability to diagnose issues across systems independently.
• Boomi or other integration platform experience is a strong advantage.
• Certifications are required for this role. Candidates must hold or be willing to obtain the following within 3-6 months of starting:
• Snowflake SnowPro Core
• Microsoft Azure data engineering certification
• Epic certification
• Boomi Professional Developer

What’s on Offer

• Salary of up to $200,000 per year, depending on experience and certifications.
• Hybrid working in Austin, with remote working considered for candidates in eligible US states (quarterly visits to Austin required).
• Full-time, permanent position with a stable public healthcare organisation.
• The chance to shape a major data platform modernisation from an early stage.
• Exposure to AI, analytics engineering and complex healthcare data integration.
• Professional development, including support with industry certifications.
• Join an organisation with significant long-term growth plans and expanding healthcare services.