Senior Data Engineer

Optum; Hyderabad; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Optum is seeking a Data Engineer to design, develop, and support large-scale data platforms. You will work with Python, Databricks, Snowflake, and Azure Cloud to deliver reliable, scalable data solutions.

The role emphasizes RCA, production support, code quality, and collaboration with cross-functional teams to drive operational excellence. The position requires 3+ years in data engineering and hands-on experience with ETL/ELT, SQL optimization, and DevOps practices.

Qualifications

• 3+ years of hands-on Data Engineering experience building large-scale data solutions

Responsibilities

• Lead production issue resolution and ensure timely recovery of services
• Perform Root Cause Analysis (RCA) and implement preventive actions
• Collaborate with business and technical teams to prioritize and resolve issues
• Provide accurate effort estimates, planning, and delivery commitments
• Conduct code reviews and ensure quality, security, and performance standards
• Mentor team members and provide technical leadership
• Drive continuous improvement in reliability, automation, and operations

Skills

Python

Databricks

Snowflake

Azure Cloud

SQL

ETL/ELT

SDLC

Performance tuning

Code reviews

Tools

Data Factory (ADF)

Delta Lake

Spark/PySpark

Job description

Improve the lives of others while Caring. Connecting. Growing together.

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:

• Lead critical production issue resolution and drive timely recovery of business services
• Conduct Root Cause Analysis (RCA) and implement preventive and corrective actions
• Collaborate with business and technical teams to prioritize and resolve production issues
• Provide accurate effort estimates, planning, and delivery commitments
• Perform code reviews and ensure adherence to quality, security, and performance standards
• Mentor team members and provide technical leadership across projects and support activities
• Drive continuous improvement initiatives focused on reliability, automation, and operational excellence
• 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:

• Data Engineering with 3+ years of hands‑on experience designing, developing, and supporting large-scale data solutions
• Experience in ETL/ELT design, development, performance tuning, and implementation
• Experience with performance tuning, debugging, and optimization of large-scale data pipelines
• Experience designing, developing, and deploying AI-powered solutions, with a focus on Responsible AI practices and business value realization
• Knowledge of monitoring, incident management, and production support processes
• Solid understanding of Software Development Life Cycle (SDLC) methodologies, coding standards, and best practices
• Proficiency in Python for data engineering, automation, and application development
• Proven solid expertise in Databricks, Snowflake, Azure Cloud, and modern cloud-based data platforms
• Proven advanced SQL development and query optimization skills for high-volume data processing

Preferred Qualifications:

• Experience with Azure Data Factory (ADF),DataBricks Spark/PySpark, Delta Lake, and data orchestration frameworks
• Experience in AI/ML solution implementation, Generative AI, and intelligent automation
• Knowledge of DevOps, CI/CD, Infrastructure as Code, and automation practices
• Understanding of data governance, security, compliance, and cloud architecture best practices

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.

UnitedHealth Group is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.

UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.