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Principal Data Engineering

Hyderabad, Telangana, India

Actively hiring, first seen by us today
Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Design and implement cloud-native data platforms with batch and streaming

  • Build pipelines using Python/Scala, Spark, SQL, Kafka, and Azure Data Factory

  • Design and deploy REST/GraphQL APIs for curated data products and ML inference

  • Optimize cost, performance, and reliability, and add observability and alerting

  • Mentor engineers and set coding standards, reviews, and engineering OKRs

From the employer’s posting
Design and implement cloud-native data platforms (e.g., Azure Data Lake, Databricks, Snowflake) with batch, streaming
Build robust pipelines using Python/Scala, Spark, SQL, Kafka, and orchestration (Azure Data Factory)
Design and deploy REST/GraphQL APIs for curated data products, ML inference, and feature services
Optimize cost, performance, and reliability; implement observability (lineage, logging, metrics, alerting)
Mentor a team of engineers; define coding standards, reviews, and engineering OKRs

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 12+ years of professional experience in data engineering, data products development, AI tools, including technical leadership
  • Hands-on experience with AI Tools or platforms, building and deploying AI models for analytics leveraging LLM, RAG and Gen AI
Qualification wording
Bachelor's degree in Computer Science, Engineering, or a related technical field
12+ years of professional experience in data engineering, data products development, AI tools, including technical leadership
Hands-on experience with AI Tools or platforms, building and deploying AI models for analytics leveraging LLM, RAG and Gen AI
Education & alternatives
Required Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related technical field - 12+ years of professional experience in data engineering, data products development, AI tools, including technical leadership
Apply at UnitedHealth Group

Posting record

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

Status in our records
Live
First seen by us
Nov 5, 2026today
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 0

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

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

From 11,148 similar postings that came down, and 824 of UnitedHealth Group’s. Coming down is not always a hire.

UnitedHealth Group is hiring

157 open jobs

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

  • Data Engineer hiring is steady
  • Takes jobs down quickly
  • 11% 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
  • Scala
  • SQL
  • Azure
  • Databricks
  • Kafka
  • NoSQL
  • Snowflake
  • Spark
Where the posting names them
- Design and implement cloud-native data platforms (e.g., Azure Data Lake, Databricks, Snowflake) with batch, streaming - Build robust pipelines using Python/Scala, Spark, SQL, Kafka, and orchestration (Azure Data Factory) - Design and deploy REST/GraphQL APIs for curated data products, ML inference, and feature services
- Hands-on experience with AI Tools or platforms, building and deploying AI models for analytics leveraging LLM, RAG and Gen AI - Data Engineering Expertise: Hands-on experience with Azure, Apache Spark, Databricks (using Scala and Python), and Azure Data Factory - Database Management: Solid experience with SQL and NoSQL databases for efficient data storage and querying
- Data Engineering Expertise: Hands-on experience with Azure, Apache Spark, Databricks (using Scala and Python), and Azure Data Factory - Database Management: Solid experience with SQL and NoSQL databases for efficient data storage and querying - Version Control: Proficiency with Git or similar systems
Primary Responsibilities: - Design and implement cloud-native data platforms (e.g., Azure Data Lake, Databricks, Snowflake) with batch, streaming - Build robust pipelines using Python/Scala, Spark, SQL, Kafka, and orchestration (Azure Data Factory)
- Optimize cost, performance, and reliability; implement observability (lineage, logging, metrics, alerting) - Advanced understanding of data architecture and cloud solutions, especially in Azure - Mentor a team of engineers; define coding standards, reviews, and engineering OKRs

Your next step

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

Applying through Radancy (TalentBrew)

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Already applied? Track this application

Has UnitedHealth Group posted this job before?

Yes. We’ve followed one other Principal Data Engineering job there since June 2026. It came down after 0 days.

  1. GurugramCame down after 0 days, first seen Jun 11
  2. This jobUp 1 day so far, first seen Nov 5

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 1,086.
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:

  • Design and implement cloud-native data platforms (e.g., Azure Data Lake, Databricks, Snowflake) with batch, streaming
  • Build robust pipelines using Python/Scala, Spark, SQL, Kafka, and orchestration (Azure Data Factory)
  • Design and deploy REST/GraphQL APIs for curated data products, ML inference, and feature services
  • Optimize cost, performance, and reliability; implement observability (lineage, logging, metrics, alerting)
  • Advanced understanding of data architecture and cloud solutions, especially in Azure
  • Mentor a team of engineers; define coding standards, reviews, and engineering OKRs
  • Translate business needs into scalable data solutions or products, manage stakeholder expectations and delivery timelines
  • 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:

  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 12+ years of professional experience in data engineering, data products development, AI tools, including technical leadership
  • Hands-on Data Engineering Lead to architect, build, and scale modern data platforms that power analytics, AI, and real-time APIs
  • Hands-on experience with AI Tools or platforms, building and deploying AI models for analytics leveraging LLM, RAG and Gen AI
  • Data Engineering Expertise: Hands-on experience with Azure, Apache Spark, Databricks (using Scala and Python), and Azure Data Factory
  • Database Management: Solid experience with SQL and NoSQL databases for efficient data storage and querying
  • Version Control: Proficiency with Git or similar systems
  • Agile & Testing: Familiarity with Agile methodologies, unit testing, and test automation frameworks
  • AI: GitHub Copilot, M365 Copilot, LLM Models, Gen AI
  • Solution Architecture: Ability to design, implement, and integrate solutions with robust data security measures
  • Performance Optimization: Ensure cross-browser compatibility and optimize applications for scalability and high performance
  • Server-Side Development: Design, develop, and maintain API services and server-side applications


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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Hyderabad, Telangana, India

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