Remote Data Integration Engineer for Federal Healthcare

Rackner; United States; Remote; USD 110,000 - 140,000; Full time

Job summary

Rackner is seeking a Data Integration Engineer to build and maintain secure data pipelines supporting federal healthcare technology operations. You will connect operational systems with a designated analytics environment to provide dependable information for performance monitoring and assurance activities.

You will work hands-on with Python, SQL, REST APIs, and CI/CD processes to develop integrations, automate data delivery, and improve data quality.

Qualifications

• Four years of professional data engineering experience with Python, SQL, and REST APIs.
• Experience using CI/CD processes for version control, testing, and delivery.
• Eligibility for a Tier 3 federal background investigation and ability to meet vetting requirements.

Responsibilities

• Design, develop, and maintain secure, API-based data pipelines connecting approved systems with an enterprise analytics environment.
• Operate and troubleshoot data integrations to support reliable data delivery for analytics and assurance activities.
• Automate collection and processing of operational metric inputs to improve reporting reliability.
• Develop repeatable data and evidence extraction workflows for authorized analysis and independent assurance activities.
• Apply version control, testing, and CI/CD processes to validate and deliver data integration changes.
• Implement data-quality checks, monitoring, and automated alerts for failures and reliability issues.
• Document interfaces and integration dependencies with architecture inventories and support interface reviews.

Skills

Python

SQL

REST APIs

CI/CD

Clearance eligibility

Tools

CI/CD pipelines

Job description

Rackner is seeking a Data Integration Engineer to build and maintain secure data pipelines supporting federal healthcare technology operations. You will connect operational systems with a designated analytics environment to provide dependable information for performance monitoring and assurance activities.

You will work hands-on with Python, SQL, REST APIs, and CI/CD processes to develop integrations, automate data delivery, and improve data quality.