Senior Data Engineer - Lakehouse Migrations & AI Pipelines

UnitedHealth Group

Raleigh (NC)

Hybrid

USD 92,000 - 164,000

Full time

6 days ago
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Job summary

UnitedHealth Group's Optum Insight seeks a Senior Data Engineer to drive a hybrid migration from a legacy data warehouse to a cloud-based lakehouse. You will design ingestion patterns, build scalable data-sharing solutions, and automate pipelines using Azure Data Factory, Databricks, and dbt.

You will read and modify Java and Python code, collaborate with cross-functional teams, and apply AI-assisted development tools to boost productivity while ensuring security, scalability, and performance in

Qualifications

  • 5+ years of data engineering or software development experience.
  • 3+ years Python or Java programming.
  • 2+ years building data pipelines in Azure (ADF, Databricks).
  • 1+ year AI-assisted development tools experience.

Responsibilities

  • Design diverse data ingestion patterns to migrate legacy Cornerstone Data Warehouse assets into the Magnus Lake House.
  • Develop scalable data-sharing solutions for consumer access to data.
  • Build automated data pipelines using Azure Data Factory and Databricks.
  • Utilize dbt for data transformations following Medallion Architecture (Bronze, Silver, Gold).
  • Maintain and enhance Java and Python codebases for project needs.
  • Evaluate AI-assisted development trends to inform design decisions.
  • Collaborate with cross-functional teams to ensure security, scalability, and performance.

Skills

Data engineering
Python/Java
Azure data services
AI-assisted development tools
SQL/ETL

Education

Bachelor's degree in CS/Math/related field
4+ years data engineering experience (alt with HS diploma)

Tools

Azure Data Factory
Databricks
dbt
GitHub Copilot/Codex

Job description

UnitedHealth Group's Optum Insight seeks a Senior Data Engineer to drive a hybrid migration from a legacy data warehouse to a cloud-based lakehouse. You will design ingestion patterns, build scalable data-sharing solutions, and automate pipelines using Azure Data Factory, Databricks, and dbt.

You will read and modify Java and Python code, collaborate with cross-functional teams, and apply AI-assisted development tools to boost productivity while ensuring security, scalability, and performance in

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