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Data Engineering Lead

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Design, develop, test and maintain data-intensive applications and ETL pipelines

  • Design agentic data engineering solutions using Gen AI and LLM models

  • Build configuration management, automation, deployment and monitoring tools

  • Maintain production systems and resolve production issues quickly

  • Take part in design walkthroughs, code reviews and defect triage

From the employer’s posting
Design, develop, test and maintain data intensive applications including ETL
Leverage AIDLC & design Agentic data engineering solution by using available Gen AI & LLM models
Build and main configuration management and automation tools, deployment strategies/processes, monitoring tools
Maintain production products, solutions, documentation, and environments to ensure optimal health, including resolving production issues
Participate in and provide input for system analysis, design walkthroughs and code reviews

What you’ll bring

All qualifications

Core experience

  • At least 5 years of data engineering experience
  • At least 1 year using Gen AI LLM models to design agentic solutions
  • ETL and pipeline development with Azure Databricks/Apache Spark and Azure Data Factory
  • Python programming
  • B.Tech in computer science or a similar field
Qualification wording
minimum 5 years' experience of Data Engineering
at least 1 years' experience leveraging Gen AI LLM models to design agentic solutions in data engineering space
Experience in ETL/Pipeline Development using tools such as Azure Databricks/Apache Spark and Azure Data Factory
Experience in programming using Python
B.Tech required in computer science or similar field
Apply at UnitedHealth Group

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 7, 20261 day ago
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 54.

At UnitedHealth Group, jobs usually come down by about day 12.

From 11,508 similar postings that came down, and 850 of UnitedHealth Group’s. Coming down is not always a hire.

UnitedHealth Group is hiring

158 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is steady
  • Takes jobs down quickly
  • 12% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • Delta Lake
  • Snowflake
  • Spark
Where the posting names them
- Experience in ETL/Pipeline Development using tools such as Azure Databricks/Apache Spark and Azure Data Factory with development expertise on batch and real-time data integration - Experience in programming using Python - Experience in data ingestion, preparation, integration and operationalization techniques in optimally addressing the data requirements
- Experience in building end to end architecture for Data Lakes, Data Warehouses and Data Marts - Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL - Experience to own end-to-end development, including coding, testing, debugging and deployment
- B.Tech required in computer science or similar field with minimum 5 years' experience of Data Engineering and at least 1 years' experience leveraging Gen AI LLM models to design agentic solutions in data engineering space - Experience in ETL/Pipeline Development using tools such as Azure Databricks/Apache Spark and Azure Data Factory with development expertise on batch and real-time data integration - Experience in programming using Python
- Experience in data ingestion, preparation, integration and operationalization techniques in optimally addressing the data requirements - Experience in Cloud data warehouse like Azure Synapse, Snowflake analytical warehouse - Experience with Orchestration tools, Azure DevOps and GitHub
- Experience in Cloud data warehouse like Azure Synapse, Snowflake analytical warehouse - Experience with Orchestration tools, Azure DevOps and GitHub - Experience in building end to end architecture for Data Lakes, Data Warehouses and Data Marts
- Proven excellent written and verbal communication skills including presentation skills - Familiarity with Azure services like Azure functions, Azure Data Lake Store, Azure Cosmos - Familiarity with Healthcare business data models

Your next step

Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.

Applying through Radancy (TalentBrew)

  • Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.

Already applied? Track this application

Has UnitedHealth Group posted this job before?

Yes. We’ve followed 9 other Data Engineering Lead jobs there since June 2026. 6 came down, usually after about 4 days. 3 are still up.

  1. GurugramCame down after 5 days, first seen Aug 20
  2. HyderabadCame down after 22 days, first seen Sep 21
  3. NoidaStill up after 31 days, first seen Oct 8
  4. NoidaStill up after 26 days, first seen Oct 13
  5. HyderabadCame down after 2 days, first seen Oct 13
  6. HyderabadStill up after 26 days, first seen Oct 13
  7. HyderabadCame down after 3 days, first seen Oct 14
  8. ChennaiCame down after 4 days, first seen Oct 23
  9. This jobUp 1 day so far, first seen Nov 7

If this one keeps the same pace, it may come down around November 11.

Large employers often post one title for several teams, so these can be separate openings.

About UnitedHealth Group

People
About 390,000 in 2025, down 2% from the year before.Annual report (SEC Form 10-K)
Company
Listed as UNH.
H-1B visas
11 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,079.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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:

  • Work with solution architects and other software engineers to evaluate functional and non-functional requirements and deliver creative, high-quality solutions
  • Design, develop, test and maintain data intensive applications including ETL, relational and non-relational data storage, data application development
  • Leverage AIDLC & design Agentic data engineering solution by using available Gen AI & LLM models
  • Follow and improve on processes for continuous delivery and DevOps within your team
  • Build and main configuration management and automation tools, deployment strategies/processes, monitoring tools
  • Collaborate on quality strategies that ensure our data platform is correct, resilient, scalable and secure
  • Participate in and provide input for system analysis, design walkthroughs and code reviews
  • Participating in defect review and triage
  • Adhere to design/coding standards and constantly improve the way we build and deliver software
  • Technical analysis of existing reporting solutions to identify opportunities for improvement both from a best practice and quality/ performance improvement perspective
  • Drive continuous improvement and automation solutions and processes
  • Maintain production products, solutions, documentation, and environments to ensure optimal health, including resolving production issues and responding quickly to priority problems
  • 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:

  • B.Tech required in computer science or similar field with minimum 5 years' experience of Data Engineering and at least 1 years' experience leveraging Gen AI LLM models to design agentic solutions in data engineering space
  • Experience in ETL/Pipeline Development using tools such as Azure Databricks/Apache Spark and Azure Data Factory with development expertise on batch and real-time data integration
  • Experience in programming using Python
  • Experience in data ingestion, preparation, integration and operationalization techniques in optimally addressing the data requirements
  • Experience in Cloud data warehouse like Azure Synapse, Snowflake analytical warehouse
  • Experience with Orchestration tools, Azure DevOps and GitHub
  • Experience in building end to end architecture for Data Lakes, Data Warehouses and Data Marts
  • Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL
  • Experience to own end-to-end development, including coding, testing, debugging and deployment
  • Experienced in Software Engineering practices like Reliability Engineering, Deployment planning, Fault Tolerant architecture, Test Automation
  • Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies
  • Ability to provide solutions that are forward-thinking in data and analytics 
  • Proven team oriented with solid collaboration, prioritization, and adaptability skills
  • Proven excellent written and verbal communication skills including presentation skills 
  • Familiarity with Azure services like Azure functions, Azure Data Lake Store, Azure Cosmos
  • Familiarity with Healthcare business data models

 

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.

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Location & working pattern

Bangalore, Karnataka, India

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