Senior Cloud Data Engineer — Azure, Snowflake & AI

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

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.