Data Engineer

Job Summary

We are looking for a Data Engineer to support a federal healthcare program, including data integration, reporting, modernization, and operational data support. This role is responsible for developing, maintaining, and improving data pipelines, data integrations, data quality controls, reporting datasets, and technical documentation that support secure, reliable, and mission-focused data operations.

Key Responsibilities

• Design, develop, test, and maintain data pipelines, ETL/ELT processes, data integrations, and database routines that support federal healthcare systems.
• Build and support ingestion, transformation, validation, storage, and delivery of structured and semi-structured data from multiple source systems.
• Develop and optimize SQL queries, stored procedures, scripts, data models, and reusable data engineering components.
• Support data quality checks, reconciliation processes, exception handling, issue tracking, and root cause analysis for production and non-production data issues.
• Partner with product owners, business analysts, developers, testers, architects, DevOps engineers, and security teams to understand data needs and deliver practical solutions.
• Prepare source-to-target mappings, data dictionaries, interface documentation, lineage notes, runbooks, and other technical documentation.
• Support data access, privacy, security, logging, audit readiness, and compliance requirements in a highly regulated environment.
• Assist with cloud-based data services, data migration, system modernization, and performance improvement activities.
• Participate in Agile ceremonies, sprint planning, backlog refinement, testing support, deployment readiness, and release activities.
• Troubleshoot data defects, performance issues, failed jobs, broken interfaces, and other operational data problems.

Required Qualifications

Education and Experience

· Bachelor's degree in Computer Science, Information Systems, Engineering, Dat...