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A-TEK Inc.

Health IT Data Engineer

Continental United States$125k–$135kmidAdded 1 month ago

About this role

As a Health IT Data Engineer at A-TEK, you will be responsible for developing and optimizing data pipelines and analytics environments aimed at modernizing health IT systems. This remote position requires collaboration with analysts and data scientists to deliver scalable data solutions while ensuring compliance with security and privacy regulations.

What you'll do

  • Design and develop enterprise data pipelines and ETL processes
  • Integrate data from multiple systems
  • Implement data validation and quality control
  • Optimize database performance
  • Support enterprise reporting platforms like Power BI and Tableau
  • Document technical architecture and processes

What they're looking for

  • Strong SQL development skills
  • Experience with ETL pipelines
  • Proficiency in relational databases
  • Knowledge of data warehousing
  • Experience with enterprise reporting platforms
  • Ability to obtain DHS Public Trust suitability
  • Azure Data Factory or Synapse experience
  • Power BI and Tableau development skills

Benefits

  • Competitive salary range of $125,000–$135,000
  • Remote work opportunity
  • Focus on employee growth and development
  • Impactful work for federal clients
  • Innovative and mission-driven work environment
  • [Unknown]
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A-TEK Inc.

A-TEK Inc. provides technology solutions and system modernization services for federal clients, including audio-visual systems, health IT infrastructure, data analytics, and AI-powered applications. The company is hiring engineers across multiple disciplines—AV, health IT, data engineering, quality assurance, and AI solutions—to support enterprise-scale federal projects.

View all jobs at A-TEK Inc.

Likely interview questions

  • Walk us through your experience designing and implementing ETL pipelines. What tools have you used, and how did you handle data validation and quality control?
  • Describe your experience with SQL and relational databases. Can you share an example of optimizing a complex query or database performance issue you resolved?