Optum is a global healthcare organization leveraging technology, data, and innovation to improve health outcomes for millions of people. We empower teams to build solutions that connect individuals with the care, pharmacy benefits, and insights they need to live healthier lives.
Join us and be part of a culture driven by inclusion, collaboration, and continuous growth—where your work directly contributes to advancing health optimization at scale.
Role Overview
We are seeking a highly experienced Data Engineer / Data Analyst to design, build, and optimize scalable data solutions and analytics frameworks. In this role, you will work closely with business and technical stakeholders to deliver data-driven insights, improve reporting ecosystems, and enable strategic decision-making through robust data pipelines and performance-optimized systems.
Key Responsibilities
Data Engineering & Solution Delivery
- Design, develop, test, and deploy scalable data solutions supporting both tactical and strategic business needs
- Build and maintain robust data pipelines using SQL, Python, and Azure data services
- Develop new data assets and enhance existing datasets, ensuring high performance, accuracy, and reliability
- Apply software engineering best practices to ETL/ELT development and data integration workflows
Analytics & Reporting Optimization
- Analyze existing reporting inventory to identify opportunities for consolidation, optimization, or decommissioning
- Design and implement dashboards, reports, KPIs, and key risk indicators (KRIs) aligned to business objectives
- Use data discovery techniques across complex datasets to generate actionable insights and recommendations
Stakeholder Engagement & Strategy
- Collaborate with business stakeholders to understand requirements and translate them into data solutions
- Provide consultative insights on process improvements, data strategy, and system enhancements
- Present findings and recommendations clearly to both technical and non-technical audiences
Platform & Cloud Development
- Leverage Azure data services (Azure SQL, Azure Data Factory, Databricks) to build enterprise-grade data solutions
- Support hybrid environments involving on-premises SQL Server and cloud-based systems
- Ensure solutions follow best practices for scalability, security, and maintainability
Performance & Optimization
- Identify and resolve performance bottlenecks through query tuning and optimization techniques
- Monitor and improve data processing efficiency across pipelines and systems
Leadership & Governance
- Provide technical direction and mentoring to team members when required
- Ensure adherence to data governance, security, and compliance standards
- Contribute to continuous improvement initiatives and delivery excellence
Required Qualifications
- 8+ years of experience in Data Engineering, Data Analytics, or related roles
- Strong expertise in SQL with hands-on experience across databases such as Oracle, SQL Server, DB2, or Teradata
- Proven experience designing and developing data pipelines and ETL/ELT workflows
- Advanced proficiency in Excel for analysis and reporting
- Strong communication skills with the ability to convey complex concepts clearly
Preferred Qualifications
- Experience with cloud platforms (Azure, AWS, or GCP), particularly in building and deploying data solutions
- Exposure to data migration projects and DevOps / DataOps practices
- Demonstrated expertise in query optimization and performance tuning
- Understanding of system security, hardening, and vulnerability management
- Track record of delivering end-to-end technology-driven solutions in a complex enterprise environment
Additional Information
- Shift Timing: 11:00 AM – 8:30 PM IST
- Flexible work arrangements may apply based on business needs and policies
Why Optum
At Optum, you'll be part of a mission-driven organization committed to improving health equity and outcomes. You'll work alongside talented peers, leverage cutting-edge technologies, and have opportunities to grow your career while making a meaningful impact.
