Data Integration Engineer — Federal Health IT
Location: Remote (U.S.-based)
Personnel Vetting: Eligibility for a Tier 3 federal background investigation and ability to meet applicable personnel-vetting requirements.
Connect Critical Data. Strengthen Operational Insight.
Rackner is seeking a Data Integration Engineer to build and maintain secure, reliable data pipelines supporting mission-critical federal healthcare technology operations. In this role, you will connect operational systems with a designated enterprise analytics environment, helping teams access dependable information for performance monitoring, reporting, and independent assurance activities.
You will work hands-on with Python, SQL, REST APIs, and established CI/CD processes to develop integrations, automate data delivery, and improve data quality. Collaborating with solution architects and technical stakeholders, you will help ensure integration solutions are maintainable, well-documented, and aligned with approved architecture and security requirements.
Responsibilities
- Design, develop, and maintain secure, API-based data pipelines connecting approved operational systems with a designated enterprise analytics environment.
- Operate and troubleshoot assigned data integrations to support reliable, consistent delivery of information for analytics and assurance activities.
- Automate the collection and processing of operational metric inputs to reduce manual effort and improve reporting reliability.
- Develop repeatable data and evidence extraction workflows that support authorized analysis and independent assurance activities.
- Apply version control, testing, and established CI/CD processes to validate and deliver data integration changes.
- Implement data-quality checks, monitoring, and automated alerts to identify integration failures and data reliability issues.
- Document technical interfaces and integration dependencies within established architecture inventories, and collaborate with solution architects to support interface reviews and approvals.
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.
Preferred Qualifications
- 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.
About Rackner
At Rackner, we develop and support technology solutions that help federal organizations address complex operational challenges. Our teams bring together expertise across cloud engineering, DevSecOps, software development, AI/ML, and mission-focused technology services.
You'll have the opportunity to contribute to meaningful healthcare technology initiatives, work alongside multidisciplinary teams, and help strengthen the data integration capabilities that support reliable technology operations, operational insights, and informed decision-making.
Benefits & Perks
Rackner offers a competitive benefits package designed to support employees professionally and personally, including:
- 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.
Benefits are subject to applicable eligibility requirements and plan terms.
Work Arrangement
This is a remote position based in the United States. The role involves collaboration with cross-functional teams supporting federal healthcare technology operations.
Equal Employment Opportunity
Rackner is an equal opportunity employer. Employment decisions are made without regard to any status protected by applicable law.