Senior Data Engineer - Remote

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities.

Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Within UHG Trend Analytics, the Data Engineering function is predominantly involved in developing business solutions by creating new and modifying existing healthcare data enrichment applications.

As a Sr. Data Engineer, you will apply your expertise across the data engineering SDLC, with a strong emphasis on designing and optimizing scalable ETL pipelines and workflows. You will serve as a key contributor in delivering reliable, high-performance data applications that support large-scale healthcare datasets from multiple source systems.

You'll be joining a high-performing team recognized as leaders in healthcare cost analytics.

This role offers the opportunity to make a meaningful impact by delivering high-quality data solutions in a fast-paced, SLA-driven environment while helping shape the future of our data platforms.

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:

* Design, develop, and optimize scalable ETL/data pipelines across platforms such as SQL Server, Snowflake, and Databricks

* Work with large, complex healthcare datasets (e.g., claims, membership, provider data), supporting enrichment, transformation, and reconciliation processes

* Support recurring production cycles in a fast-paced, SLA-driven environment, including monitoring, validation, and issue resolution

* Lead and support critical production issue resolution, including root cause analysis and implementation of corrective actions

* Partner with business stakeholders, analysts, and actuaries to translate complex requirements into reliable data solutions

* Conduct code reviews and promote best practices to ensure high-quality, maintainable solutions

* Provide accurate and timely estimates for development and support work

* Ensure data accuracy and integrity through validation, reconciliation, and quality controls

* Serve as a technical leader within the team by contributing to design decisions, standards, and continuous improvement efforts

* Collaborate with team members to meet or exceed service level agreements and delivery commitments

Note:

This role includes a mix of development and production support responsibilities.

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

* 6+ years of data engineering work experience

* 6+ years of experience designing and developing ETL/data pipelines

* 6+ years of experience working across the full software development lifecycle (SDLC)

* 3+ years of experience working with cloud-based data platforms such as Snowflake, Azure, and/or Databricks

* 3+ years of experience in Python

* Solid hands-on experience writing and optimizing complex SQL in enterprise-scale environments

* Proven ability to work with large, complex datasets and deliver scalable, high-performance solutions

Preferred Qualifications:

* Experience developing ETL Processes using Microsoft SQL Server Integration Services (SSIS)

* Experience with additional programming languages such as .NET

* Experience working with healthcare data, including medical, pharmacy, or administrative claims

* Experience writing and executing functional and technical specifications

* Familiarity with data modeling concepts and data warehousing principles

* Demonstrated…