Data Engineer - Cloud ETL, Azure, Data Bricks, Snowflake, Pyspark

UnitedHealth Group; Hyderabad; On-site; Confidential; Full time

Job summary

UnitedHealth Group seeks an experienced Data Engineer to design and maintain ETL/ELT pipelines using Databricks, Snowflake, Python, and Teradata. You will build scalable data solutions for enterprise reporting, analytics, and AI/ML initiatives.

The role requires strong SQL, data modeling, and Airflow expertise, plus collaboration with cross-functional teams and adherence to governance and security standards.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 5+ years of experience in Data Engineering, Data Warehousing, or ETL development.
• Strong hands-on experience with Databricks, Snowflake, Teradata, Python, and UNIX.
• Experience with Airflow and GitHub/GitHub Copilot.
• Strong SQL and data modeling skills.
• Knowledge of AI/ML concepts and data engineering support for ML workloads.
• Proven analytical, troubleshooting, and communication skills.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Databricks, Snowflake, Python, and Teradata.
• Build scalable data solutions supporting enterprise reporting, analytics, and AI/ML initiatives.
• Develop and support workflow orchestration using Airflow.
• Perform data analysis, data quality validation, and performance tuning.
• Collaborate with business and technical teams to gather requirements and deliver data solutions.
• Implement CI/CD and code management practices using GitHub and GitHub Copilot.
• Support production deployments, issue resolution, and operational monitoring.
• Ensure compliance with data governance, security, and healthcare regulations.

Skills

Databricks

Snowflake

Teradata

Python

UNIX

Airflow

GitHub Copilot

SQL

Data modeling

Communication

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

GitHub Copilot

Airflow

Databricks

Snowflake

Teradata

UNIX

Job description

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, develop, and maintain ETL/ELT pipelines using Databricks, Snowflake, Python, and Teradata
• Build scalable data solutions supporting enterprise reporting, analytics, and AI/ML initiatives
• Develop and support workflow orchestration using Airflow
• Perform data analysis, data quality validation, and performance tuning
• Collaborate with business and technical teams to gather requirements and deliver data solutions
• Implement CI/CD and code management practices using GitHub and GitHub Copilot
• Support production deployments, issue resolution, and operational monitoring
• Ensure compliance with data governance, security, and healthcare regulations
• 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

Required Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or related field
• 5+ years of experience in Data Engineering, Data Warehousing, or ETL development
• Solid hands-on experience with Databricks, Snowflake, Teradata, Python, and UNIX
• Experience with Airflow and GitHub/GitHub Copilot
• Solid SQL and data modeling skills
• Knowledge of AI/ML concepts and data engineering support for ML workloads
• Proven excellent analytical, troubleshooting, and communication skills

Preferred Qualification:

• Healthcare domain experience with Customer, Member, and Provider data

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.