Senior AI Data Engineer (Clinical ETL) - Remote

UnitedHealth Group

Town of Wausau (WI)

Remote

USD 73,000 - 130,000

Full time

7 days ago
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Job summary

Optum is part of UnitedHealth Group and seeks a Sr. Software Engineer to join the clinical technology team as an ETL Developer.

You will design, code, test, deploy, and support end-to-end data integration for Clinical Datawarehouse and Reporting Platform systems, focusing on backend data processing and production reliability. The role emphasizes AI/ML tool adoption across the SDLC, robust data architectures, on-call support, and collaboration with cross-functional teams.

Qualifications

  • 5+ years of production operational support for high-availability enterprise systems.
  • 4+ years of software engineering with SQL/Oracle and Unix scripting.
  • 3+ years building/integrating AI/ML solutions, Snowflake, APIs.
  • 3+ years of GitHub, CI/CD pipelines, code reviews, and DevOps.
  • 3+ years of Kafka for event-driven/streaming architectures.
  • 3+ years of data engineering with Snowflake and relational DBs.
  • 2+ years with Apache Airflow and Tivoli Workload Scheduler.

Responsibilities

  • Analyze requirements to design, develop, and deliver E2E software and data integration solutions for Clinical Datawarehouse systems.
  • Provide production support to maintain system availability and performance.
  • Drive adoption of AI tools through the SDLC for automated, robust pipelines.
  • Design and deploy AI-powered data processing features to improve data quality.
  • Provide on-call support and handle production issues within SLAs.
  • Manage code reviews and migrations across deployment environments.

Skills

SQL & Oracle
Unix scripting
AIML solutions
GitHub & CI/CD
Kafka
Snowflake
Airflow
TWSd
RESTful APIs
Java/.NET/React

Education

Bachelor's degree

Tools

Jira
Jenkins
GitLab

Job description

Optum is part of UnitedHealth Group and seeks a Sr. Software Engineer to join the clinical technology team as an ETL Developer.

You will design, code, test, deploy, and support end-to-end data integration for Clinical Datawarehouse and Reporting Platform systems, focusing on backend data processing and production reliability. The role emphasizes AI/ML tool adoption across the SDLC, robust data architectures, on-call support, and collaboration with cross-functional teams.

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