Data Integration Engineer

• Lead the integration of complex healthcare data packages including medical claims, pharmacy claims, revenue cycle billing, ADT, clinical/EMR, FHIR and value-based care financial datasets into custom or Ursa Studio standard data models through collaboration with client and Ursa Health teams.
• Design and operationalize rigorous validation checks that preserve data integrity, prevent analytics degradation, and maintain client trust.
• Communicate with clients to understand their data, its limitations, and intended analytical use cases to support them in interpreting the findings that drive their businesses.
• Effectively communicate with internal and client teams to gather and understand the information necessary to successfully complete projects, documenting both the process and final deliverables so a non-technical stakeholder can understand the interpretation and business rules.
• Collaborate with analytics engineers, customer success, and product teams to align delivery with client expectations and to surface product opportunities informed by client needs and data behavior.
• Support client teams to advance their implementation initiatives, including training, measure building, and report interpretation.
• Thoughtfully leverage AI-assisted tooling to accelerate and improve delivery, applying domain knowledge and human judgment to ensure sound output.
• Keep your knowledge current regarding data security and privacy procedures and policies. Comply with HIPAA procedures and collaborate with the Incident Response Team as directed.

• Bachelor’s degree
• 4+ years of experience working with healthcare financial (e.g., claims, provider billing data), clinical or pharmacy data domains
• Familiarity with healthcare data integration concepts, common data sources (payer data files, EMR/EHR systems), data formats (claims, billing, X12 835/837/270, HL7 ADT, FHIR), and medical coding standards (CPT, ICD-10)
• 4+ years implementing and maintaining ETL/ELT pipelines and processes.
• 4+ years of experience in end-to-end data integration (data discovery, data cleansing and curation, analysis, transformation, validation and maintenance).
• High proficiency working with SQL, relational database systems (e.g., Snowflake, Microsoft SQL, Oracle, PostgreSQL) and data modeling.
• Excellent written and verbal communication skills.

• Knowledgeable in healthcare interoperability / integration engines
• Experience with ELT or workflow orchestration tools such as Fivetran, dbt, Dagster, or Airflow. While this role applies those concepts within Ursa Studio rather than using those tools directly, the ability to think in systems is a plus.
• Experience building data models that support healthcare outcome measurement.
• Familiarity with value-based care data and financial models.
• Working understanding of Python or JavaScript to manipulate and transform large datasets and data science fundamentals.
• Experience working with AI tools in a professional context, with the judgment to apply them appropriately in healthcare data environments where output accuracy is critical.
• History of working with remote teams.

• United States, Position is Remote

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