UnitedHealth Group

UnitedHealth Group

Sr. Data Engineer

Little Rock, Arkansas, USA · Senior · Full-time

Sponsorship not specified$92k-$164kDetected 53 days ago
PythonPowerShellCode ReviewGitSQLSnowflakeAzureRESTData EngineeringComplianceOutbound SalesControlsAR/VRHIPAAHL7/FHIRLeadershipPublic Speaking

About the role

  • You'll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges.
  • The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

Responsibilities

  • We remove friction and drive alignment between care providers and payers, and ultimately consumers.
  • Ready to help us deliver results that improve lives?

Requirements

  • This role requires strong SQL proficiency, deep understanding of enterprise data warehousing patterns, and the ability to operate independently while contributing to complex, regulated data environments.
  • For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Nice to have

  • We comply with all minimum wage laws as applicable.
  • Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected.
  • Job posting may come down early due to volume of applicants.
  • UnitedHealth Group is a drug - free workplace.
  • Candidates are required to pass a drug test before beginning employment.

Compensation

  • The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

Benefits

  • Optum Insight is improving the flow of health data and information to create a more connected system.
  • No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives.
  • At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone.

This listing is sourced directly from UnitedHealth Group's careers page and normalized into a canonical job model.