Data Integration Engineer (Remote - US only)

S.-based applicants only. A technology services company that builds and supports solutions for federal organizations is hiring a data integration engineer for federal healthcare technology operations. The role centers on connecting operational systems to a designated enterprise analytics environment so that teams can rely on consistent data for performance monitoring, reporting, and independent assurance work. You will collaborate with solution architects and technical stakeholders on secure, well-documented integrations.

What you'll do

• Design, build, and maintain secure, API-based data pipelines between approved operational systems and the designated analytics environment.
• Operate and troubleshoot assigned integrations to keep data delivery reliable and consistent.
• Automate the collection and processing of operational metrics to reduce manual work and improve reporting accuracy.
• Build repeatable data and evidence extraction workflows that support authorized analysis and assurance activities.
• Use version control, testing, and CI/CD practices to validate and release integration changes.
• Add data-quality checks, monitoring, and automated alerts, and document interfaces within architecture inventories.

What you need

• At least four years of professional data engineering experience using Python, SQL, and REST APIs.
• Hands-on experience with CI/CD processes supporting version control, testing, and deployment of data engineering work.
• Eligibility for a Tier 3 federal background investigation and the ability to meet applicable personnel-vetting requirements.
• Must be based in the United States.
• Preferred:
• Experience with Microsoft Power Platform and Dataverse.
• Familiarity with Splunk for data analysis, monitoring, or reporting.
• Experience integrating data in federal healthcare technology or comparable large-scale enterprise data environments.

Applicants must be based in: United States.

How to apply

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