Health IT Data Engineer
About The Position
Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission! A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape. Our work is fueled by a passion to serve our clients’ needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees. 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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
