> Markdown version of [/jobs/ext/4480450-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/4480450-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Unitedhealth Group Inc - **Location:** Cypress, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $91,700.0 - $163,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Computer Programming, Continuous Integration, Data Validation, Information Engineering, Data Governance, Data Security, Data Systems, Distributed Computing Environment, Identity and Access Management, Python (Programming Language), Performance Tuning, Runbook, Data Processing, Scripting, Azure Data Factory, GitHub Copilot, Office365, Generative AI, Agentic-AI, Git, Pyspark, Git Flow, Data Management, Software Version Control, Data Pipelines, Databricks - **Published:** October 24, 2026 - **Apply:** https://www.dice.com/job-detail/8c73e85b-60a6-4574-8cb4-c98c9fb0c4b4 ## About the Role * Bachelor's Degree * 5+ years of hands-on data engineering experience building, supporting, and operating data pipelines and data platforms * 4+ years of proficiency in Python for programming, automation, data processing, and scripting * 4+ years of Azure Databricks experience, including pipeline development, job monitoring, workload support, performance tuning, and cost-aware development practices * 4+ years of PySpark experience for distributed data processing, transformations, data quality validation, and performance tuning * 3+ years of Git experience including CI/CD basics, version control, pull request workflows, branching strategies, and release support * 1+ years of basic working understanding of data governance, data security, access controls, privacy, and enterprise compliance concepts *All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. ## Description This role supports the Identity Management rebuild initiative and ongoing support for the existing application. As part of the rebuild, the candidate will help build and support AI-enabled data pipelines that improve automation, monitoring, testing, data quality validation, and workflow efficiency. The ideal candidate is a Data Engineer with 5+ years of experience in Python, Azure Databricks, PySpark, Azure Data Factory, and Git, along with hands-on exposure to enterprise-approved AI tools and custom AI agents to improve engineering productivity. You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges., * Build, enhance, and support Azure data pipelines and data solutions for the Identity Management rebuild and existing application support * Develop and support data pipelines using Azure Databricks, Azure Data Factory, PySpark, Python, and Git-based development practices across development, staging, and production environments * Troubleshoot data issues, improve pipeline reliability, and contribute to performance tuning and cost optimization activities * Support ingestion, transformation, serving, monitoring, and data quality activities for distributed processing workloads while following data governance, privacy, and security expectations * Support the build and operationalization of custom AI agents to assist with development, testing, documentation, data validation, monitoring, production support, runbook execution, and data workflow automation * Use Databricks Genie, GitHub Copilot, Microsoft 365 Copilot, and other enterprise-approved GenAI tools to accelerate pipeline development, automation, troubleshooting, documentation, analysis, and decision-making workflows * Maintain a minimum of 90% weekly usage of approved AI tools and leverage AI tools and agents to enhance coding, documentation, data analysis, testing, and delivery workflows * Collaborate with stakeholders, platform engineering, analytics, and application teams to support delivery priorities and communicate risks, dependencies, and progress clearly * Stay current with evolving AI capabilities and apply them to improve delivery quality, efficiency, innovation, and responsible engineering practices You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.