IT Data Engineer III - Remote

Company: Paradigm

Location: Lombard, IL (Remote)

Type: Contract

Remote: Yes

Posted: 2026-08-05

About this role

Paradigm is an accountable specialty care management organization focused on improving the lives of people with complex injuries and diagnoses. The company has been a pioneer in value-based care since 1991 and has an exceptional track record of generating the very best outcomes for patients, payers, and providers. Deep clinical expertise is the foundation for every part of Paradigm’s business: risk-based clinical solutions, case management, specialty networks, home health, shared decision support, and payment integrity programs.


We’re
proud
to be recognized—again! For the fourth year in a row, we’ve been certified by
Great Place to Work
*®,
*
and for the third consecutive year, we’ve earned a spot on Fortune's Best Workplaces in Health Care™ list. These honors reflect our unwavering commitment to fostering a positive, inclusive, and employee-centric culture where people thrive.


Watch this short video for a brief introduction to Paradigm.


We are seeking a full-time, remote Data Engineer III position. This role supports the continued proliferation of data-driven decision-making throughout Paradigm by designing, building, and maintaining robust data pipelines and architectures. The Data Engineer ensures that clean, reliable, and well-structured data is readily available to analysts, data scientists, and other key stakeholders for advanced analytics, reporting, and operational needs. The ideal candidate has a strong technical background in data integration, data modeling, and modern data engineering tools — specifically Microsoft Power BI, Microsoft Fabric, and a variety of ETL/ELT platforms — along with demonstrated experience working independently to prioritize data projects. Familiarity with healthcare and/or workers’ compensation terminology and business concepts is a plus.


RESPONSIBILITIES:

  • Design and Maintenance of Data Architectures
  • Architect, build, and optimize Paradigm’s data pipelines, data lake, and data warehou...

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