Forward Deployed Data Engineer

Join our team as a Forward Deployed Data Engineer, where you will design and implement data models, ETL/ELT pipelines, and integrations to bring client payer data into governed, analytics-ready foundations. You will serve as a trusted technical advisor to client data, IT, and business stakeholders, and communicate technical tradeoffs, risks, and recommendations clearly to both technical and non-technical audiences. You will work closely with core payer datasets and navigate healthcare interoperability standards and exchange patterns.

- Design and implement data models, ETL/ELT pipelines, and integrations that bring client payer data into governed, analytics-ready foundations, with a particular focus on Snowflake. - Translate business requirements into scalable technical designs, from ingestion and standardization through analytics-ready data products. - Serve as a trusted technical advisor to client data, IT, and business stakeholders, including senior leaders, and work on-site with clients as engagements require.

- 7+ years of experience in data engineering, analytics engineering, solution engineering, or a related technical role - Strong expertise in data modeling, ETL/ELT, integration, databases, data pipelines, and analytics solution design - Proficiency in SQL, Snowflake, Databricks, Spark, cloud data services, APIs, and integration frameworks; hands-on Snowflake experience strongly preferred, as clients build their data foundations there - Familiarity with healthcare interoperability standards and exchange patterns, including FHIR, HL7, EDI, and APIs - Experience with healthcare payer, government, claims, eligibility, member, provider, encounter, and care management data - Strong facilitation, requirements-gathering, communication, and structured problem-solving skills - Proven ability to work directly with external clients, senior stakeholders, and ambiguous requirements - T-shaped professional with deep technical expertise, broad systems understanding, and sound business judgment - Self-starter with strong analytical instincts, pragmatic problem solving, and the ability to work on-site with clients as needed - Experience in a consulting, professional services, or other client-facing delivery environment - Snowflake or Databricks certifications - Experience with data governance, master data management, or data quality frameworks - Familiarity with CMS, Medicaid, or Medicare data requirements