Senior Data Engineer — AI-Driven Pipelines

UnitedHealth Group

Dublin

Hybrid

EUR 90,000 - 120,000

Full time

24 hours ago
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Benefits offered by this job

Flexible work arrangements

Job summary

UnitedHealth Group in Ireland seeks a Senior Data Engineer to develop complex data sources and pipelines for our data platform (Snowflake/Azure). You will collaborate with data teams to align requirements, ensure data quality, and automate solutions.

The role supports hybrid work across Dublin and Letterkenny, with home-based options. You will build scalable data pipelines, de-identification, and monitoring while leveraging AI-assisted tools to boost productivity and data quality.

Qualifications

  • Bachelor's degree or higher in a related field.
  • Hands-on experience as a Data Engineer.
  • Proficient in SQL with window functions.
  • Experience with Snowflake and data pipelines.
  • Familiarity with AI-assisted development tools.

Responsibilities

  • Ingest, transform, and consolidate data from multiple sources to create a unified data foundation.
  • Develop data transformation routines to clean and normalize data for analysis.
  • Implement data masking/de-identification per company standards.
  • Create monitoring tools to ensure data integrity and reliability.
  • Build and monitor pipelines using Airflow and Snowflake.

Skills

SQL proficiency
Python
Data modeling
Snowflake
Azure
Airflow
Git/GitHub Actions
Data warehousing
Communication
AI-assisted tools familiarity

Education

Bachelor's degree in CS/IT or related field

Tools

Airflow
Snowflake
Azure
GitHub Actions
Docker
Kubernetes
Databricks

Job description

UnitedHealth Group in Ireland seeks a Senior Data Engineer to develop complex data sources and pipelines for our data platform (Snowflake/Azure). You will collaborate with data teams to align requirements, ensure data quality, and automate solutions.

The role supports hybrid work across Dublin and Letterkenny, with home-based options. You will build scalable data pipelines, de-identification, and monitoring while leveraging AI-assisted tools to boost productivity and data quality.

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