Data Engineer Senior, Analytics Pipeline (FWA)

General Dynamics Information Technology (GDIT) is a technology and professional services company delivering technology solutions and mission services. The Senior Data Engineer will build and operate an event-driven pipeline that transforms healthcare claims data into fraud, waste, and abuse alerts and insights, including production signal integration, monitoring, notifications, and dashboards.

Responsibilities:

• Build and operate the event-driven pipeline that picks up new Partner data as it lands in the HFPP warehouse and routes it into whatever fraud signals are currently deployed
• Take each newly-approved fraud signal and get it running in production: translate what Data Science already validated into pipeline logic that executes reliably at claims-record scale, without changing what the signal actually does
• Build and maintain the alert delivery layer; partner email notifications and the per-partner HTML dashboards in the HFPP Portal's analytics extension
• Watch the pipeline day to day. Latency, failed jobs, data that didn't land when it should have. Fix it before it costs a Partner an alert cycle, not after
• Build alongside the Data Architect and work collaboratively with the program’s technical and investigative teams
• Coordinate with Data Scientists on signal handoff without owning the methodology yourself

Requirements:

• • Bachelor's degree in computer science, engineering, or a related field, or equivalent hands-on experience
• • 4+ years building and operating production data pipelines, including at least one event-driven or streaming system running at real scale
• • Hands-on experience with AWS and Snowflake, enough to build an event-driven ingestion pattern that reliably feeds a warehouse-native scoring layer
• • Strong Python and SQL for pipeline and integration code, not just querying
• • Experience building alerting or notification systems tied to a dashboard or portal a non-technical audience actually looks at
• • Experience taking someone else's validated logic (a model, a rule set, a signal) and operationalizing it in production without changing what it does
• • Comfortable working independently in a fully remote environment, building to someone else's architecture rather than setting your own
• • Working familiarity with healthcare claims data or healthcare coding systems (ICD-10, CPT, HCPCS, DRG)
• • Experience with pipeline monitoring/observability tooling and on-call-style incident response for a production data system
• • Experience in a fraud, anomaly-detection, or other alerting pipeline specifically
• • AWS certification (e.g., Solutions Architect Associate) or equivalent demonstrated depth