Data Integration Engineer — Federal Health IT

The role

You will build and maintain secure, reliable data pipelines connecting operational systems with an enterprise analytics environment. You will work with Python, SQL, REST APIs, and CI/CD processes to automate data delivery and improve data quality.

What you will do

• Design, develop, and maintain secure, API-based data pipelines.
• Operate and troubleshoot assigned data integrations.
• Automate the collection and processing of operational metric inputs.
• Develop repeatable data and evidence extraction workflows.
• Apply version control, testing, and established CI/CD processes.
• Implement data-quality checks, monitoring, and automated alerts.
• Document technical interfaces and integration dependencies.

Required qualifications

• Minimum of four years of professional data engineering experience involving Python, SQL, and REST APIs.
• Experience using CI/CD processes to support version control, testing, and delivery of data engineering changes.
• Eligibility for a Tier 3 federal background investigation and ability to meet applicable personnel-vetting requirements.

Nice to have

• Experience with Microsoft Power Platform and Dataverse.
• Familiarity with Splunk for data analysis, monitoring, or reporting.
• Integrating data within federal healthcare technology environments or comparable large-scale enterprise data platforms.

Benefits

• Professional development and company-supported certification opportunities.
• 401(k) retirement plan with a 100% company match on contributions up to 6%.
• Medical, dental, vision, life, and disability insurance.
• Paid time off and company holidays.
• Home-office equipment and remote-work support.
• Fitness and wellness reimbursement.
• Weekly pay and company team events.

Before you apply

• Eligibility for a Tier 3 federal background investigation and ability to meet applicable personnel-vetting requirements.

About the company

Rackner develops and supports technology solutions that help federal organizations address complex operational challenges. Their teams provide expertise across cloud engineering, DevSecOps, software development, AI/ML, and mission-focused technology services.