Forward Deployed Data Engineer

Role overview

Build data foundations for healthcare payer clients by turning fragmented source data into governed, analytics-ready models, pipelines, and integrations. This hands-on, client-facing role combines senior data engineering, healthcare data expertise, and consulting, often in ambiguous environments and on Snowflake. The work also includes shaping reusable practices across engagements.

Responsibilities

- Design and implement data models, ETL/ELT pipelines, and integrations, with a focus on Snowflake. - Translate business needs into technical designs spanning data ingestion, standardization, and analytics-ready products. - Lead discovery sessions, gather requirements, and advise client technical and business stakeholders on tradeoffs and risks. - Work with payer data such as claims, eligibility, member, provider, encounter, and care management records; guide data quality, mapping, and integration decisions. - Coordinate with healthcare, AI/product, and delivery specialists while applying shared data modeling practices. - Document reusable patterns and lessons, and travel to client sites as needed; travel is estimated at about 25%.

Requirements

- At least 7 years in data engineering, analytics engineering, solution engineering, or a related technical role. - Strong skills in data modeling, ETL/ELT, databases, integration, pipelines, and analytics solution design. - Hands-on Snowflake experience, plus proficiency with SQL, Databricks, Spark, cloud data services, APIs, and integration frameworks. - Experience with healthcare payer or government data, including claims, eligibility, member, provider, encounter, or care management data. - Familiarity with healthcare data exchange standards such as FHIR, HL7, and EDI. - Able to work directly with clients and senior stakeholders, facilitate discovery, communicate clearly, and make progress amid ambiguity.

Benefits and work setup

The position includes on-site client work and approximately 25% travel.