Senior Cloud Data Engineer - Remote

Optum Insight is improving the flow of health data and information to create a more connected system.

We remove friction and drive alignment between care providers and payers, and ultimately consumers.

Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth.

Ready to help us deliver results that improve lives?

Join us to start Caring.

Connecting.

Growing together.

We are seeking a highly skilled and experienced Senior Cloud Data Engineer to join our team.

The successful candidate will be responsible for migrating on-premises database and ETL solutions to a modern cloud-based data platform utilizing Azure Cloud technologies, Snowflake, Python, and Generative AI solutions.

This role will also be responsible for leveraging AI, Large Language Models (LLMs), and advanced analytics capabilities to automate processes, enhance data accessibility, improve operational efficiency, and accelerate business insights.

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.

• Lead the migration of ETL workloads from on-premises data warehouse platforms to Azure Cloud and Snowflake
• Design, develop, and implement scalable data platform solutions using Azure Data Factory (ADF), Databricks, Self-hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage Gen2 (ADLS Gen2), Blob Storage, Snowflake, and Python
• Review, analyze, modernize, and optimize existing SSIS, T-SQL, and legacy ETL solutions

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.