Data Integration Engineer-Federal Health IT

Role overview Develop and operate secure data integrations for a large cloud environment supporting federal health IT. The role connects enterprise systems to centralized analytics platforms, with a focus on dependable API pipelines, data quality, automation, and clear technical documentation. This is a remote position for someone based in the United States.

Responsibilities - Build and maintain secure API-based pipelines that consolidate data from multiple enterprise systems. - Automate data collection, extraction, and reporting processes, using version control, testing, and CI/CD practices. - Set up data quality checks, monitoring, and alerts to catch accuracy or consistency problems. - Document integrations, system interfaces, and architecture. - Work with technical leads and architects to review and validate integrations and support their approval.

Requirements - At least four years of experience in data engineering, data integration, or a related field. - Strong API integration and automation skills. - Proficiency with Python, SQL, and REST APIs. - Experience implementing or maintaining CI/CD pipelines. - Ability to meet applicable background screening and security requirements, including Public Trust clearance.

Nice to have - Experience with Microsoft Power Platform, Dataverse, or Splunk. - Background integrating data in healthcare, business intelligence, or other complex enterprise environments.

Benefits and work setup - Remote work within the United States. - Eligible employees may receive medical, dental, vision, life, and disability insurance; 401(k) with company match; paid time off and holidays; home-office support; professional development; and wellness reimbursement. Benefits depend on plan terms and eligibility.