Lead Data Platform Engineer — AI-Powered, Hybrid Work

UnitedHealth Group

Ireland

Hybrid

EUR 120,000 - 160,000

Full time

3 days ago
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Benefits offered by this job

Private health insurance
Wellness programs
Pension matching
Lunch provided by company
Training opportunities
Donations matching

Job summary

Optum, part of UnitedHealth Group, seeks a Lead Software Engineer to advance analytics platforms and AI-powered applications within the Analytics Engineering team in Ireland. You will work with Software Engineers and Data Scientists to deliver high-quality code for analytics products and services.

You will help transform health data workflows, design scalable pipelines in Python/PySpark, and contribute to architecture discussions while supporting CI/CD and production operations in a hybrid

Qualifications

  • Proven hands-on software development experience.
  • Proven experience with Spark, PySpark, and Databricks.
  • Experience with major cloud platforms (Azure, AWS, or GCP).
  • Undergraduate degree or equivalent professional experience.
  • Experience with NoSQL, Docker and Kubernetes helpful.

Responsibilities

  • Lead end-to-end software engineering activities including requirements analysis, design, development, testing, deployment and support.
  • Design, develop and deploy scalable, high-performance software applications and AI-powered solutions.
  • Leverage AI-assisted development tools and emerging generative AI technologies to improve design, testing and operations.
  • Maintain and improve CI/CD with GitHub Actions and related tooling.
  • Create prototypes, proofs-of-concepts and conduct design/code reviews.

Skills

Software Development
Spark
PySpark
Databricks

Education

Undergraduate degree

Tools

Python
Docker
Kubernetes
Azure
AWS
GCP
NoSQL

Job description

Optum, part of UnitedHealth Group, seeks a Lead Software Engineer to advance analytics platforms and AI-powered applications within the Analytics Engineering team in Ireland. You will work with Software Engineers and Data Scientists to deliver high-quality code for analytics products and services.

You will help transform health data workflows, design scalable pipelines in Python/PySpark, and contribute to architecture discussions while supporting CI/CD and production operations in a hybrid

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