Senior Cloud Data Engineer - Remote
Indexed description
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
- 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
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%
- 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.
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
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, location and 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 marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care 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. Candidates are required to pass a drug test before beginning employment.
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