Senior Cloud Data Engineer - Remote

Optum; Eden Prairie (MN); Hybrid; USD 92,000 - 164,000; Full time

Benefits offered by this job

Benefits package

Equity stock purchase

401k contribution

Job summary

Optum is seeking a highly skilled Senior Cloud Data Engineer to migrate on-premises ETL workloads to a modern cloud data platform using Azure, Snowflake, Python, and Generative AI.

You’ll design scalable data solutions with ADF, Databricks, SHIR, ADLS Gen2, and Blob Storage, review legacy ETL, and collaborate across teams. Remote work from anywhere in the U.S. is supported, with a Minneapolis-area on-site requirement four days a week.

Qualifications

• 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%

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

Skills

ETL development

Cloud data engineering

Azure data services

Snowflake

Databricks

Python for data engineering

LLMs / AI integration

Agile methodologies

Communication & collaboration

Tools

Azure Data Factory

SHIR

Logic Apps

ADLS Gen2

Blob Storage

Azure OpenAI

Snowflake

Python

Job description

Improve the lives of others while Caring. Connecting. Growing together.

OptumInsightis 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, andultimately consumers. Our deepexpertisein the industry and innovative technology empower us to help organizations reduce costs while improving risk management,qualityand revenue growth. Ready to help us deliver results that improve lives?Join us to startCaring. 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’llenjoy 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:

• 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’llbe 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 asprovidedevelopment for other roles you may be interested in.

Required Qualifications:

• 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%

Preferred Qualifications:

• 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.

*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age,locationand income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalizedgroupsand those with lower incomes. We are committed to mitigating our impact on the environment and enabling and deliveringequitablecare that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidatesare required topass a drug test before beginning employment.

UnitedHealth Group is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.

UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.