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# Health IT Data Engineer

- **Company:** A-TEK, Inc.
- **Location:** Alexandria, VA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $125,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, Information Systems, Databases, Data Architecture, Data Validation, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Relational Databases, Power BI, Tableau (Software), Data Ingestion, Azure Data Factory, Fast Healthcare Interoperability Resources, Microsoft Fabric, Information Technology, Health Level Seven International, Azure Synapse Analytics, Databricks
- **Published:** July 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=92123a39467219d5

## About the Role

* Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
 * Minimum seven (7) years of data engineering experience.
 * Strong SQL development skills.
 * Experience designing ETL pipelines.
 * Experience with relational databases and data warehousing.
 * Experience supporting enterprise reporting platforms.
 * Ability to obtain DHS Public Trust suitability.

Preferred Qualifications

 * Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience.
 * Power BI and Tableau development experience.
 * Healthcare data integration experience.
 * Knowledge of HL7 or FHIR standards.

## Description

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines and analytics environments supporting Health IT modernization initiatives. The successful candidate will work closely with analysts, data scientists, and application teams to deliver scalable, secure, and high-quality data solutions. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position., * Design and develop enterprise data pipelines and ETL processes.

 * Develop logical and physical data models.
 * Integrate data from multiple enterprise systems.
 * Implement data validation and quality control procedures.
 * Optimize database and reporting performance.
 * Support Power BI, Tableau, and enterprise reporting platforms.
 * Develop automation processes supporting data ingestion and transformation.
 * Ensure compliance with Government security and privacy requirements.
 * Troubleshoot data integration issues and performance bottlenecks.
 * Support cloud-based analytics environments and data modernization initiatives.
 * Prepare technical documentation and data architecture diagrams.


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