Data Engineer: Build Scalable Pipelines & Insights

UnitedHealth Group; Ireland; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

UnitedHealth Group's Optum unit seeks a Data Engineer to streamline data pipelines and deliver actionable insights for Stars Analytics, helping members and providers make better decisions.

The role emphasizes ETL, governance, and scalable processing across cloud platforms. You will collaborate with business and technical stakeholders, implement robust monitoring, and contribute to innovative data solutions for healthcare cost management.

Qualifications

• Hands-on experience building data pipelines and solid software engineering fundamentals.
• Ability to diagnose complex data issues across large-scale datasets.
• Proficiency with SQL, including window functions and advanced features.
• Experience with DevOps practices, Git workflows, and CI/CD.
• Strong collaboration with business and technical stakeholders during design and development.
• Proficiency in Python for data pipelines, APIs, automation and analytics.

Responsibilities

• Data Pipeline Development: Develop and maintain ETL pipelines from multiple sources into a central warehouse or data lake with data quality in mind.
• Data Integration: Combine data from databases, APIs, logs, and external sources to form a reliable foundation for analysis.
• Data Transformation: Clean, normalize, and aggregate data for analytics and machine learning tasks.
• Frameworks & governance: Contribute to code frameworks, deployment practices, and data governance.
• Monitoring & support: Build monitoring, alerts, and error handling to ensure data integrity.
• Collaboration: Work with stakeholders to translate requirements into robust data solutions.

Skills

Data pipelines

SQL

Python

DevOps

Stakeholder engagement

Troubleshooting large datasets

Tools

Snowflake

Databricks

AWS

Azure

GCP

Airflow

Job description

UnitedHealth Group's Optum unit seeks a Data Engineer to streamline data pipelines and deliver actionable insights for Stars Analytics, helping members and providers make better decisions.

The role emphasizes ETL, governance, and scalable processing across cloud platforms. You will collaborate with business and technical stakeholders, implement robust monitoring, and contribute to innovative data solutions for healthcare cost management.