On-Site Healthcare Data Engineer

St. Peter's Health Regional Medical CenterHelena, MT
Onsite

About The Position

Join our Analytics & Innovation team as a Data Engineer, where you'll play a key role in designing, building, and optimizing scalable data solutions that support critical healthcare analytics and decision-making. In this role, you will develop reliable real-time and batch data pipelines, create tools for monitoring and troubleshooting data workflows, and design data models that enable efficient access to enterprise data. Working closely with internal stakeholders, third-party vendors, and cross-functional teams, you will provide both technical and functional support while ensuring data quality, accuracy, and performance. The ideal candidate combines strong SQL and database expertise with excellent problem-solving, communication, and customer service skills. Experience supporting healthcare data environments, including Meditech or Epic SQL-based data repositories, is highly desirable.

Requirements

  • Experience with MEDITECH or EPIC programming and report writing.
  • Knowledge of RDBMS, SQL, BI Reporting, and the MEDITECH/EPIC Data Repository
  • Experience with PC hardware and software including Windows OS administration, file interchange, shared network resources, internet access and electronic mail.
  • Demonstrated analytic, written, and oral communication skills.
  • Strong SQL and database expertise
  • Excellent problem-solving skills
  • Excellent communication skills
  • Excellent customer service skills

Nice To Haves

  • Experience supporting healthcare data environments, including Meditech or Epic SQL-based data repositories

Responsibilities

  • Designing, building, and optimizing scalable data solutions
  • Developing reliable real-time and batch data pipelines
  • Creating tools for monitoring and troubleshooting data workflows
  • Designing data models that enable efficient access to enterprise data
  • Providing technical and functional support to internal stakeholders, third-party vendors, and cross-functional teams
  • Ensuring data quality, accuracy, and performance
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