Data Engineer - Remote

About this role

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start
Caring. Connecting. Growing together
This role is responsible for designing, developing, and maintaining scalable and reliable data pipelines that support both batch and real-time analytics within an Azure-based data platform. The position operates as part of a collaborative data engineering team, working closely with fellow data engineers and data science & reporting partners to meet evolving data requirements. The scope of the role includes end-to-end pipeline development using Azure Data Factory, Databricks, PySpark, and streaming technologies; implementation of the Medallion (Bronze/Silver/Gold) architecture; enforcement of data quality, reliability, and performance standards; and adherence to enterprise data governance, security, and documentation practices across the data lifecycle.


You'll enjoy the flexibility to work remotely \* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.


Primary Responsibilities

• Pipeline Development: Design, develop, and maintain robust pipelines to ingest data from various sources (both streaming and batch) into the analytics environment using using Azure Data Factory and PySpark via Databricks. Set up real-time data ingestion using tools like Spark Structured Streaming and batch ETL jobs for periodic data loads. Ensure these pipelines are scalable, efficient, and fault-tolerant to handle growing data volumes and velocity
• Implement Data as per Medallion Architecture: Utilize the Medallion (Bronze/Silver/Gol...