[Hiring] Senior Software Engineer @UnitedHealth Group

Role Description

We are seeking a Sr Software Engineer to join our data engineering team. In this role, you will lead the design, development, and deployment of enterprise-scale data engineering solutions and AI-powered data pipelines. You will collaborate with cross-functional technical teams to build scalable GenAI/LLM frameworks, optimize ETL/ELT architecture across structured and semi-structured healthcare data sources, and drive data governance across the organization.

You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Design, develop, deploy, and operationalize enterprise-scale data engineering solutions, data pipelines, and AI-powered workflows to address complex business challenges
• Lead data acquisition, ingestion, normalization, and transformation across complex structured and semi-structured healthcare source systems to hydrate data platforms and power advanced analytics
• Leverage enterprise-approved AI tools and evaluate emerging trends to streamline workflows, automate tasks, optimize data pipeline monitoring, and inform strategic innovation
• Build and optimize data frameworks for GenAI and LLM use cases, including vector ingestion, embedding generation, metadata enrichment, and performance tuning for scalable inference
• Partner with broader analytics and AI teams to make recommendations for data architecture changes, feature engineering frameworks, and scalable model input/output workflows
• Implement, modify, and maintain robust ETL/ELT methodologies while continuously eliminating unwarranted complexity, unneeded interdependencies, and technical debt
• Detect data quality issues, identify root causes, implement fixes, and manage data audits to ensure data reliability, transparency, security, and governance
• Drive Responsible AI practices, data governance, and compliance with privacy standards, access controls, and enterprise data standards
• Prepare high-level and detailed technical design documents and leverage DevOps tools for code versioning, continuous integration, and automated deployment

Qualifications

• 7+ years of combined experience working with industry-standard relational, dimensional, or non-relational data storage systems
• 7+ years of experience in designing ETL/ELT solutions using tools such as PL/SQL, or T-SQL
• 5+ years of experience managing and querying data assets using SQL, Python, Scala, or similar querying/coding languages
• 5+ years of experience in Microsoft Azure Cloud, Azure Data Factory, Databricks, Spark, Scala, or Python
• 1+ Experience building and operationalizing GenAI/LLM solutions, including RAG pipelines, prompt engineering, and enterprise data integration

Requirements

• Bachelor’s Degree in Information Technology, Engineering, Computer Science, Math, Analytics, or a related field (or equivalent experience)
• Strong expertise in AI data engineering and governance, covering vector databases, embeddings, semantic search, data preparation, and Responsible AI practices (privacy, access control, monitoring)
• Experience utilizing DevOps tools for code versioning, automated deployment pipelines, and CI/CD workflows
• Proven ability to troubleshoot, optimize, and maintain enterprise data platforms and modern data frameworks
• 7+ years of combined experience in data engineering, ingestion, normalization, transformation, aggregation, structuring, and storage
• 5+ years of experience working with healthcare data or supporting healthcare analytics platforms

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution (all benefits are subject to eligibility requirements)

Application Deadline

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.