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Senior Business System Analyst - Python, Azure Databricks

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Design, develop, and maintain scalable data pipelines and ETL/ELT solutions

  • Collaborate with cross-functional teams including Business, Analytics, and Engineering teams

  • Partner with business stakeholders, product owners, and cross-functional teams to understand business requirements and translate them into scalable technical solutions

From the employer’s posting
Primary Responsibilities: Design, develop, and maintain scalable data pipelines and ETL/ELT solutions Develop and optimize complex SQL queries, stored procedures, and data models
Troubleshoot production issues and support ongoing enhancements Collaborate with cross-functional teams including Business, Analytics, and Engineering teams Contribute to automation initiatives and process improvements
Contribute to automation initiatives and process improvements Partner with business stakeholders, product owners, and cross-functional teams to understand business requirements and translate them into scalable technical solutions Drive automation and continuous process improvement initiatives

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
  • Solid knowledge of Azure Cloud ecosystem (Azure Data Factory, Azure Storage, Azure SQL, Azure Databricks, Azure DevOps).
  • 4+ years of experience in Data Engineering, Analytics Engineering, or Big Data development
  • Solid understanding of SDLC, CI/CD, and cloud engineering best practices
  • Experience designing end-to-end data engineering solutions
  • Experience mentoring junior team members and driving technical initiatives

Preferred experience

  • Experience with Selenium automation
  • Experience building dashboards and reports in Power BI
  • Experience with Azure DevOps and Git version control
  • Experience with PySpark and big data technologies
Qualification wording
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
Solid knowledge of Azure Cloud ecosystem (Azure Data Factory, Azure Storage, Azure SQL, Azure Databricks, Azure DevOps).
4+ years of experience in Data Engineering, Analytics Engineering, or Big Data development
Solid understanding of SDLC, CI/CD, and cloud engineering best practices
Experience designing end-to-end data engineering solutions
Experience mentoring junior team members and driving technical initiatives
Experience with Selenium automation
Experience building dashboards and reports in Power BI
Experience with Azure DevOps and Git version control
Experience with PySpark and big data technologies
Education & alternatives
Required Qualifications: - Bachelor's degree in Computer Science, Information Technology, Engineering, or related field - 4+ years of experience in Data Engineering, Analytics Engineering, or Big Data development
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 13, 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 56.

At UnitedHealth Group, jobs usually come down by about day 13.

From 13,649 similar postings that came down, and 942 of UnitedHealth Group’s. Coming down is not always a hire.

UnitedHealth Group is hiring

167 open jobs

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

  • Data Engineer hiring is steady
  • Takes jobs down quickly
  • 10% 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
  • Power BI
  • PySpark
Where the posting names them
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. We are looking for a highly motivated Sr Business System Analyst/ Business System Analyst to join our team at Optum. The ideal candidate will be responsible for designing, developing, and supporting scalable data solutions using cloud and big data technologies. The role requires solid expertise in SQL, Python, Databricks, and Azure Cloud, with exposure to healthcare data being an added advantage. The candidate will work closely with business stakeholders, analysts, and technology teams to understand their requirements and build strategies to support them via robust data pipelines, automate processes, and high-quality analytics solutions.
- Develop and optimize complex SQL queries, stored procedures, and data models - Build and maintain data solutions using Python and Databricks - Develop cloud-native data engineering solutions on Azure
- Advanced expertise in SQL and performance tuning - Solid hands-on development experience in Python - Extensive experience with Databricks and PySpark
- Design, develop, and maintain scalable data pipelines and ETL/ELT solutions - Develop and optimize complex SQL queries, stored procedures, and data models - Build and maintain data solutions using Python and Databricks
- Experience mentoring junior team members and driving technical initiatives - Advanced expertise in SQL and performance tuning - Solid hands-on development experience in Python
- Extensive experience with Databricks and PySpark - Solid knowledge of Azure Cloud ecosystem (Azure Data Factory, Azure Storage, Azure SQL, Azure Databricks, Azure DevOps). - Solid understanding of SDLC, CI/CD, and cloud engineering best practices
- Build and maintain data solutions using Python and Databricks - Develop cloud-native data engineering solutions on Azure - Ensure data quality, integrity, security, and performance across platforms
- Experience building dashboards and reports in Power BI - Experience with Azure DevOps and Git version control - Experience with PySpark and big data technologies
- Solid hands-on development experience in Python - Extensive experience with Databricks and PySpark - Solid knowledge of Azure Cloud ecosystem (Azure Data Factory, Azure Storage, Azure SQL, Azure Databricks, Azure DevOps).
- Experience with Selenium automation - Experience building dashboards and reports in Power BI - Experience with Azure DevOps and Git version control
- Experience with Azure DevOps and Git version control - Experience with PySpark and big data technologies - Knowledge of US Healthcare domain

Your next step

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

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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 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 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.

 

We are looking for a highly motivated Sr Business System Analyst/ Business System Analyst to join our team at Optum. The ideal candidate will be responsible for designing, developing, and supporting scalable data solutions using cloud and big data technologies. The role requires solid expertise in SQL, Python, Databricks, and Azure Cloud, with exposure to healthcare data being an added advantage.

 

The candidate will work closely with business stakeholders, analysts, and technology teams to understand their requirements and build strategies to support them via robust data pipelines, automate processes, and high-quality analytics solutions.

 

Primary Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL/ELT solutions
  • Develop and optimize complex SQL queries, stored procedures, and data models
  • Build and maintain data solutions using Python and Databricks
  • Develop cloud-native data engineering solutions on Azure
  • Ensure data quality, integrity, security, and performance across platforms
  • Analyze business requirements and translate them into technical solutions
  • Participate in code reviews and adhere to development best practices
  • Troubleshoot production issues and support ongoing enhancements
  • Collaborate with cross-functional teams including Business, Analytics, and Engineering teams
  • Contribute to automation initiatives and process improvements
  • Partner with business stakeholders, product owners, and cross-functional teams to understand business requirements and translate them into scalable technical solutions
  • Drive automation and continuous process improvement initiatives
  • Collaborate with onsite and offshore teams to deliver projects within agreed timelines
  • Communicate project status, risks, dependencies, and technical recommendations to stakeholders
  • 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, Information Technology, Engineering, or related field
  • 4+ years of experience in Data Engineering, Analytics Engineering, or Big Data development
  • Experience designing end-to-end data engineering solutions
  • Experience mentoring junior team members and driving technical initiatives
  • Advanced expertise in SQL and performance tuning
  • Solid hands-on development experience in Python
  • Extensive experience with Databricks and PySpark
  • Solid knowledge of Azure Cloud ecosystem (Azure Data Factory, Azure Storage, Azure SQL, Azure Databricks, Azure DevOps).
  • Solid understanding of SDLC, CI/CD, and cloud engineering best practices

 

Preferred Qualifications:

  • Experience with Selenium automation
  • Experience building dashboards and reports in Power BI
  • Experience with Azure DevOps and Git version control
  • Experience with PySpark and big data technologies
  • Knowledge of US Healthcare domain
  • Exposure to healthcare data standards, claims data, HEDIS, quality measures, or provider/member data
  • Familiarity with Agile/Scrum methodologies

 

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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Gurgaon, Haryana, India

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