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
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
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
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.
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.
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.
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.