Senior Cloud Data Engineer - Remote

UnitedHealth Group•Eden Prairie, MN

16h•$91,700 - $163,700•Remote

About The Position

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.

Requirements

6+ years of ETL development experience using on-premises databases and ETL technologies
4+ years of experience as a Cloud Data Engineer
3+ years of hands-on experience with Azure Cloud data services including ADF, SHIR, Logic Apps, ADLS Gen2, and Blob Storage
3+ years of experience working with Snowflake data platforms
2+ years of experience working with Databricks
2+ years of experience Python for data engineering, automation, API integration, and AI application development
2+ years of experience integrating Large Language Models (LLMs) such as Azure OpenAI, OpenAI, Anthropic Claude, or similar platforms
1+ years of experience with Agile methodologies
Experience developing AI-powered solutions including prompt engineering, document intelligence, semantic search, vector databases, and Retrieval-Augmented Generation (RAG) architectures
Proven excellent problem-solving skills and ability to work independently
Proven solid communication and collaboration skills
Proven solid analytical skills and attention to detail
Ability to adapt to new technologies and learn quickly
Ability to travel up to 10%
All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy
Candidates are required to pass a drug test before beginning employment.

Nice To Haves

Azure Data Engineer, Azure AI Engineer, Azure Solutions Architect, and/or Snowflake certifications
Experience designing enterprise AI solutions in Azure cloud environments.
Experience with Azure OpenAI Service, Azure AI Search, Azure AI Studio, and Azure Machine Learning.
Proven knowledge of vector databases, embeddings, semantic search, and GenAI application architectures.
Experience implementing data governance, data quality, and AI governance frameworks.
Demonstrated familiarity with Spark, MLflow, or machine learning operationalization (MLOps)
Experience with healthcare data platforms, HIPAA compliance, and protected health information (PHI) handling.
Demonstrated familiarity with AWS and Google Cloud Platform data and AI services.

Responsibilities

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