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Data Engineering Lead

Optum (UnitedHealth Group) · Healthcare & Pharma

  • Hyderabad, Telangana, India
  • On-site
  • Posted today
  • Data & AI

About the job

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:

Data Pipeline Development
Design, build, and maintain scalable ETL/ELT pipelines
Ingest data from databases, APIs, cloud platforms, files, and streaming sources
Automate data movement and transformation processes.

Data Warehousing & Modeling

Design data models such as Star Schema, Snowflake Schema, and Data Marts
Build and maintain enterprise data warehouses and data lakes
Optimize storage, partitioning, and query performance
Data Quality & Governance
Implement data validation and quality checks
Ensure data accuracy, consistency, and completeness
Apply governance, security, RBAC, encryption, and compliance standards
Cloud Data Engineering
Build solutions on Azure, AWS, or GCP
Manage services such as Azure Data Factory, Databricks, ADLS, Synapse, Snowflake, and Spark
Support cloud migrations and modernization initiatives
Performance Optimization
Tune SQL queries, Spark jobs, and pipelines
Monitor batch and real-time workloads
Resolve failures and ensure SLA adherence
Collaboration & Requirements Gathering
Work with Product Owners, Business Analysts, Data Scientists, and stakeholders
Translate business requirements into scalable data solutions
Support testing, validation, and production deployments
DevOps & Automation
Implement CI/CD for data pipelines
Use GitHub, Azure DevOps, and automation frameworks
Maintain version control and deployment processes
Reporting & Analytics Enablement
Provide clean, trusted datasets for Power BI, Tableau, AI/ML models, and operational reporting
Enable self-service analytics across the organization
Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:

Graduate degree or equivalent experience
Proven experience in real-time + streaming pipelines
Proven hands-on work in Databricks + Azure ecosystem
Proven exposure to AI/agentic or LLM-based implementations and AI-DLC lifecycle
Demonstrated work on enterprise-scale data platforms (not POCs only)

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.