Data Engineer: Cloud ETL Pipelines & AI-Driven Analytics

Taleo

Eden Prairie (MN)

Remote

USD 73,000 - 130,000

Full time

23 hours ago
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Benefits offered by this job

Comprehensive benefits
Incentive programs
Equity stock purchase
401k contribution

Job summary

UnitedHealth Group's Optum Technology team is seeking a Data Engineer to architect, build, and maintain high-performance ETL/ELT data pipelines across on-premises and cloud environments using Snowflake, Airflow, Python, and SQL.

You will implement data quality controls, de-identification, and masking, while automating CI/CD deployments with GitHub Actions and collaborating with Agile teams to deliver scalable data architectures and AI-powered solutions.

Qualifications

  • Hands-on experience building scalable ETL/ELT pipelines.
  • Proficiency with Python for data processing and scripting.
  • Experience with data governance, masking, and de-identification.

Responsibilities

  • Design, build, and maintain enterprise ETL/ELT pipelines using Snowflake and Airflow.
  • Develop data transformations with SQL and Python.
  • Implement data de-identification, row-level security, and masking.
  • Establish automated data quality validation and monitoring.
  • Collaborate with Agile teams to translate business needs into scalable data architectures.
  • Support CI/CD for data workflows via Git/GitHub Actions.
  • Optimize pipeline performance in cloud data platforms.
  • Design and deploy AI-powered solutions addressing business challenges.

Skills

ETL/ELT pipelines
Python
SQL
CI/CD
Data governance
Agile/Scrum

Education

Bachelor's degree

Tools

Snowflake
Apache Airflow
Azure
Databricks
Kubernetes
Docker
GitHub Actions
Git

Job description

UnitedHealth Group's Optum Technology team is seeking a Data Engineer to architect, build, and maintain high-performance ETL/ELT data pipelines across on-premises and cloud environments using Snowflake, Airflow, Python, and SQL.

You will implement data quality controls, de-identification, and masking, while automating CI/CD deployments with GitHub Actions and collaborating with Agile teams to deliver scalable data architectures and AI-powered solutions.

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