Data Engineer
US client via staffing partner · Remote
- Location
- Remote · Remote
- Salary band
- Band not stated
- Type
- Contract
- Level
- Mid
- Work authorization
- Not stated
Stack
SQL · Amazon Redshift · Python · Jinja · AWS Glue · Amazon S3 · ETL · Data Pipelines · Amazon Bedrock · Langflow · Claude · GitHub Copilot · GenAI · Apache Superset · Revenue Cycle Management · EDI · Window Functions · CTEs · Query Optimization · Dashboarding
About the role
Title: Data Engineer Location: Remote Role Summary: Support a large-scale Revenue Cycle Management (RCM) analytics engagement. This role blends advanced SQL/Redshift development, cloud-native data pipeline engineering, and hands-on use of agentic/GenAI tools, working closely with a globally distributed team. What You'll Do: Advanced SQL Development — Design, optimize, and troubleshoot complex Redshift SQL for RCM analytics, including advanced query patterns (window functions, CTEs, query tuning), performance optimization at scale, and complex data transformation logic Data Ingestion & Pipeline Development — Design and build cloud-native data ingestion pipelines (e.g., AWS Glue, Redshift, S3) to process healthcare transaction and EDI data Python & Dynamic Queries — Build parameterized dashboard queries using Python and Jinja templating Agentic & AI-Assisted Development — Build and apply agentic/GenAI solutions hands-on for data profiling, code generation, and QA — e.g., Amazon Bedrock, Langflow, Claude, GitHub Copilot, or similar Rapid Dashboarding — Stand up and iterate on dashboards (using Superset) quickly in an ambiguous, fast-moving environment Global Team Collaboration — Coordinate daily with India-based colleagues and other distributed team members Skillset: 2+ years advanced SQL/Redshift experience — query optimization, performance tuning, complex transformations Python with Jinja (or similar) templating AWS cloud experience (Glue, S3, Redshift) for ETL/ingestion pipelines Hands-on agentic/GenAI experience (e.g., Bedrock, Langflow, Claude, GitHub Copilot) Strong communicator, comfortable in ambiguous, fast-moving environments and across a globally distributed team
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