Principal AI Data Engineer — Remote GenAI Pipelines

UnitedHealth Group

Eden Prairie (MN)

Hybrid

USD 113,000 - 193,000

Full time

6 days ago
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Benefits offered by this job

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

Job summary

Optum within UnitedHealth Group seeks a Principal AI Data Engineer to design end-to-end AI pipelines for large-scale unstructured data, enabling advanced analytics, Generative AI, and investigative insights. You will transform OCR-driven data into AI-ready data products and build LLM-powered systems in production.

This role sits at the intersection of data engineering and AI, focusing on modern data pipelines, production-grade AI capabilities, and collaboration across stakeholders.

Qualifications

  • Bachelor's degree or equivalent experience.
  • 5+ years designing, building, and operating scalable data pipelines (batch + streaming).
  • 2+ years deploying Generative AI solutions to production (RAG, LLM-powered pipelines).
  • Hands-on development in Python and SQL, with Spark/PySpark and Databricks.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and platforms supporting analytics, ML, and AI use cases.
  • Build ingestion frameworks for large-scale structured and unstructured data including streaming sources.
  • Enable and support ML/AI workflows, feature engineering, data prep, and deployment support.
  • Drive Generative AI initiatives, data quality, observability, lineage, and governance.
  • Collaborate with product, analytics, and infrastructure teams to deliver high-impact data and AI solutions.

Skills

Python
SQL
Spark
Databricks
OCR
Generative AI
Cloud platforms
DevOps/CI/CD

Education

Bachelor's degree or equivalent experience

Tools

Airflow
GitHub Actions
Docker
Terraform
Kubernetes
Kafka

Job description

Optum within UnitedHealth Group seeks a Principal AI Data Engineer to design end-to-end AI pipelines for large-scale unstructured data, enabling advanced analytics, Generative AI, and investigative insights. You will transform OCR-driven data into AI-ready data products and build LLM-powered systems in production.

This role sits at the intersection of data engineering and AI, focusing on modern data pipelines, production-grade AI capabilities, and collaboration across stakeholders.

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