Senior Data Engineer – AI-Driven Data Platform (Remote)

UnitedHealth Group; Minnetonka (MN); Remote; USD 113,000 - 193,000; Full time

Job summary

UnitedHealth Group is seeking a Principal Data Engineer to design, build, and scale enterprise data platforms across cloud and hybrid environments. This role partners with Analytics/BI and Data Science to deliver reliable, high‑performing datasets and ML workflows.

You will lead end‑to‑end data pipelines with Python, SQL, Spark, Databricks, Snowflake while maintaining security, data quality, and regulatory compliance. Remote work nationwide with some in‑office days for Minneapolis/DC teams.

Qualifications

• 7+ years of experience in data engineering, enterprise data platform development, or data architecture.
• 5+ years building scalable ELT/ETL data pipelines with Python, SQL, and Spark.
• 3+ years modern data platforms such as Databricks or Snowflake.
• 3+ years cloud Platforms (GCP/Azure/AWS) including IAM security and hybrid architectures.
• 3+ years CI/CD for data pipelines and IaC using Terraform.
• 3+ years batch and streaming processing for near-real-time data use cases.
• 3+ years building ML data pipelines including feature engineering and retraining workflows.

Responsibilities

• Lead design and implementation of cloud-based and hybrid data architectures, platforms, and enterprise data solutions.
• Build, optimize, and maintain scalable ELT/ETL data pipelines using Python, SQL, Spark, and modern data platforms.
• Design and deploy AI-powered data engineering workflows with responsible AI practices.
• Operationalize ML pipelines with feature engineering, training/inference data flows, and automated retraining or scoring.
• Use enterprise-approved AI tools to streamline workflows and data tasks for platform improvement.
• Ensure data quality, observability, lineage, and documentation across pipelines.
• Implement security, IAM, encryption, PII handling, and regulatory compliance controls.
• Provide hands-on leadership and mentor junior/senior engineers; resolve complex incidents.

Skills

Python

SQL

Spark/PySpark

ETL/ELT design

ML pipelines

Education

Bachelor’s degree in Computer Science, Data Engineering, IT, or related field

Tools

Databricks

Snowflake

GCP

Azure

AWS

Terraform

MLflow

Job description

UnitedHealth Group is seeking a Principal Data Engineer to design, build, and scale enterprise data platforms across cloud and hybrid environments. This role partners with Analytics/BI and Data Science to deliver reliable, high‑performing datasets and ML workflows.

You will lead end‑to‑end data pipelines with Python, SQL, Spark, Databricks, Snowflake while maintaining security, data quality, and regulatory compliance. Remote work nationwide with some in‑office days for Minneapolis/DC teams.