Note: The job is a remote job and is open to candidates in USA. Optum Tech is a global leader in health care innovation, developing solutions across data analytics, artificial intelligence, and cybersecurity. The Principal Data Engineer will lead the design, development, and modernization of enterprise-scale Azure data platforms, while driving cloud-native architecture, AI initiatives, governance, reliability, and technical leadership across distributed engineering teams.
Responsibilities
- Architect and implement scalable, secure, and high-performance data solutions on Microsoft Azure
- Design and develop enterprise data pipelines using Azure Data Factory (ADF), Azure SQL, Azure Data Lake Storage (ADLS), Azure Functions, and related Azure services
- Lead the design and optimization of data warehouse and analytics solutions using Snowflake
- Establish data engineering standards, governance, and best practices for enterprise-wide adoption
- Develop Infrastructure as Code (IaC) solutions using Terraform to automate cloud deployments and environment management
- Drive modernization initiatives, including migration of legacy platforms to cloud-native architectures
- Design, build, and integrate AI agents and intelligent automation solutions to accelerate data development, testing, documentation, and operational support
- Collaborate with business stakeholders, architects, product owners, and engineering teams to translate business requirements into scalable technical solutions
- Provide technical leadership, code reviews, mentorship, and guidance to distributed engineering teams
- Ensure platform reliability, security, compliance, and cost optimization
Skills
- 10+ years of experience in data engineering and data architecture, with a proven track record of delivering enterprise-scale data solutions
- 10+ years of experience in data modeling, performance tuning, data governance, and data security
- 7+ years of experience designing large-scale enterprise data lakes, data warehouses, and analytics solutions
- 7+ years of experience implementing CI/CD pipelines and DevOps practices for data platforms
- 5+ years of hands-on experience with modern cloud data platforms and engineering tools, including: + Azure Data Factory (ADF) + Azure SQL + Snowflake Data Platform + Terraform and Infrastructure as Code + Python, SQL, and data engineering frameworks
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field
- Experience developing and deploying AI-powered agents to improve engineering productivity
- Experience with Large Language Models (LLMs), Retrieval Augmented Generation (RAG), vector databases, and AI orchestration frameworks
- Experience leading geographically distributed teams
- Knowledge of Databricks, Spark, Azure OpenAI, and machine learning workflows
Benefits
- Flexible remote work from anywhere within the U.S., subject to UnitedHealth Group's Telecommuter Policy
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
Company Overview
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