Data Integration Engineer

Ursa Health

4d • $160,000 - $180,000 • Remote

About The Position

The Data Integration Engineer role is ideal for an experienced data professional eager to put their healthcare domain knowledge and engineering expertise to work in a collaborative, mission-driven environment. Your efforts to organize, transform, and automate the flow of healthcare data will unlock actionable insights for our clients, enabling them to move from raw data to meaningful analysis in hours rather than weeks. You'll interpret and integrate client data claims, ADT, clinical/EMR, provider billing, and other operational datasets into the Ursa Core Data Model, building reusable, enduring data models that clients rely on to drive clinical, operational, and financial decisions.
You will work closely with Ursa colleagues across analytics engineering, product development, and customer success, as well as directly with client teams including data architects, analysts, clinicians, and other healthcare professionals to understand their data and their needs. You'll leverage Ursa Health's data platform to design and build integration pipelines, data models and increasingly, work alongside AI-assisted tooling that accelerates the process.
You're looking for a role that will allow you to apply your experience to a "blank canvas" to design and create elegant and enduring data models.
You have great attention to detail and enjoy the process of investigating and interpreting raw data. You anticipate dataset-specific inconsistencies and edge cases before they become problems.
You are a consultative partner by nature, comfortable working directly with a range of stakeholders (clinical, operational, data/technology, and actuarial) to understand how data was generated, what its limitations are, and how it will be used.
You are looking to join a collaborative team that is passionate about healthcare and strives to build best in class healthcare analytics.
You're curious by nature and excited to use technologies that allow you more time to explore, test, and iterate on the data model you design rather than worry about maintaining fragile code.
You have a deep understanding of health information systems, medical claims and/or billing data across payors and/or clinical data from your experience as a data architect and/or engineer.
You balance technical rigor with pragmatic elegance building solutions that are durable without being overcomplicated.
You've worked with AI tools and have developed a clear-eyed sense of where they help and where they don't especially in a domain where the cost of a wrong answer is high.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level