Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable
From the employer’s posting
Participate in scrum process and deliver stories/features according to the schedule
Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable
Participate in product support activities as needed by the team.
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
Power BI
Spark
SQL Server
PySpark
Where the posting names them
- Hands-on data migration experience from legacy systems to new solutions, such as from on-premises clusters to Cloud
- Tools/Technologies:- Programming Languages: Python, PySpark
- Cloud Technologies: Azure (ADF, Databricks, WebApp, Key vault, SQL Server, function app, logic app, Synapse Azure Machine Learning, DevOps)
- Cloud Technologies: Azure (ADF, Databricks, WebApp, Key vault, SQL Server, function app, logic app, Synapse Azure Machine Learning, DevOps)
- Solid proficiency in SQL and complex queries
- Proven expert skills in Azure data processing tools (Azure Data Factory, Azure Databricks)
- Deep experience in Data Analysis, including source data analysis, data profiling and mapping
- Good experience in building data pipelines using ADF/Azure Databricks
- Proven hands-on experience with a large-scale data warehouse
- Proven hands-on experience with a large-scale data warehouse
- Experience with DevOps, implementation of Bigdata, Apache Spark and Azure Cloud
- Experience with Large scale data processing using PySpark on azure ecosystem
- Experience with DevOps, implementation of Bigdata, Apache Spark and Azure Cloud
- Experience with Large scale data processing using PySpark on azure ecosystem
- Experience with implementation of self-service analytics platform ETL framework using PySpark on Azure
- Experience with Large scale data processing using PySpark on azure ecosystem
- Experience with implementation of self-service analytics platform ETL framework using PySpark on Azure
- Hands-on data migration experience from legacy systems to new solutions, such as from on-premises clusters to Cloud
- Solid proficiency in SQL and complex queries
- Proven expert skills in Azure data processing tools (Azure Data Factory, Azure Databricks)
- Proven ability to learn and adapt to new data technologies
Preferred Qualifications:
- Knowledge/Experience on Azure Synapse and Power BI
- Knowledge on US healthcare industry/Pharmacy data
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.
Yes. We’ve followed 2 other Senior Data Engineering Lead jobs there since September 2026. 2 came down, usually after about 32 days.
HyderabadCame down after 45 days, first seen Sep 12
GurugramCame down after 19 days, first seen Oct 16
This jobUp 0 days so far, first seen Nov 6
Sep 12Today
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.
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.
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:
Participate in scrum process and deliver stories/features according to the schedule
Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable
Participate in product support activities as needed by the team.
Understand product architecture, features being built and come up with product improvement ideas and POCs
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:
Undergraduate degree or equivalent experience
Deep experience in Data Analysis, including source data analysis, data profiling and mapping
Good experience in building data pipelines using ADF/Azure Databricks
Proven hands-on experience with a large-scale data warehouse
Experience with DevOps, implementation of Bigdata, Apache Spark and Azure Cloud
Experience with Large scale data processing using PySpark on azure ecosystem
Experience with implementation of self-service analytics platform ETL framework using PySpark on Azure
Hands-on data migration experience from legacy systems to new solutions, such as from on-premises clusters to Cloud
Proven expert skills in Azure data processing tools (Azure Data Factory, Azure Databricks)
Proven ability to learn and adapt to new data technologies
Proven good problem solving skills
Proven good communication skills
Preferred Qualifications:
Knowledge/Experience on Azure Synapse and Power BI
Knowledge on US healthcare industry/Pharmacy 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.