Senior Data Analyst

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, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities

• Design, build, and maintain scalable data engineering solutions using Azure Databricks, Azure Data Factory and Snowflake across all phases of the Software Development Life Cycle (SDLC)
• Develop and optimize ETL/ELT pipelines, batch and near real time data processing workflows
• Establish, refine, and integrate development, CI/CD, orchestration, and monitoring tools (GitHub, Azure DevOps, Airflow, Databricks Jobs)
• Collaborate closely with business stakeholders to understand requirements and translate them into robust data architecture and technical designs
• Ensure data quality, reliability, security, and compliance, especially for healthcare data
• Support production systems, participate in on call/application support, and handle critical incidents when required
• Continuously identify opportunities for process improvement, cost optimization, and platform modernization
• Generative AI & Advanced Techniques: Learn and apply GenAI building blocks such as RAG and prompt orchestration tools (e.g., LangChain); exposure to vector databases is a plus
• Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
• Software Engineering & APIs: Contribute to building and testing APIs (e.g., REST with FastAPI) and learn delivery fundamentals such as containers (Docker) and simple app frameworks (e.g., Flask/Streamlit) as needed
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
  
  

• Bachelor's degree in computer science/ data Engineer / AI/ML / Data Science, or related field
• 4+ years of overall experience in Data Engineering, Data Warehousing, or Data Lake implementations
• Solid hands-on experience with:
• Python and PySpark
• Azure Databricks & Azure Data Factory
• Advanced SQL
• Proven experience designing and implementing Data Lakes / Lakehouse architecture on Azure Cloud
• Healthcare domain experience with solid understanding of data sensitivity, compliance, and regulatory requirements
• Solid experience working with business stakeholders to gather requirements and propose end-to-end data architecture solutions
• Solid understanding of Agile/Scrum methodologies, CI/CD practices, and DevOps for data platforms
• Proven excellent analytical, problem solving, and performance tuning skills, with the ability to bring innovative solutions that add business value