Data Integration Engineer — Federal Health IT
New
R
RacknerFederal healthcare IT
Remote (U.S.-based)Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- Minimum of four years of professional data engineering experience
- Required Skills
- PythonSQLData engineeringCI/CDRESTful APIs
Requirements
- Have a minimum of four years of professional data engineering experience involving Python, SQL, and REST APIs.
- Have experience using CI/CD processes to support version control, testing, and delivery of data engineering changes.
- Preferred: experience with Microsoft Power Platform and Dataverse.
- Preferred: familiarity with Splunk for data analysis, monitoring, or reporting.
- Preferred: experience integrating data in federal healthcare technology environments or comparable large-scale enterprise data platforms.
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 information delivery 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 for 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 in established architecture inventories, and collaborate with solution architects on interface reviews and approvals.
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