Senior Software Engineer
About The Position
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. 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.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
