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Senior Data Engineer

Dublin, Leinster, Ireland

Live, first seen by us 3 hours ago
Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
Must already have the right to workPlease note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application

What you’ll work on

Full posting
  • Design, build, test and maintain high-quality, scalable big data solutions, including real-time and near real-time data pipelines

  • Design and prototype monitoring models to track pipeline health and data quality

  • Analyse raw data sources, transformation needs and structural requirements for new software and applications

From the employer’s posting
Data engineering and pipelines Design, build, test and maintain high-quality, scalable big data solutions, including real-time and near real-time data pipelines Write code and use appropriate tools to transform data, applying business logic defined with Optum business and technology partners
Migrate data from legacy systems to new platforms Design and prototype monitoring models to track pipeline health and data quality Data architecture and governance
Data architecture and governance Analyse raw data sources, transformation needs and structural requirements for new software and applications Design conceptual and logical data models and data flow diagrams

What you’ll bring

All qualifications

Core experience

  • Experience in a data engineering role working with enterprise data warehouses
  • Experience with both relational (RDBMS) and non-relational databases
  • Experience using Spark/Databricks for data processing and machine learning workloads
  • Knowledge of DevOps tools and practices
  • Experience working in Agile/Scrum teams
  • Hands-on experience with Python and SQL (Java or Scala experience is also beneficial)

Preferred experience

  • Practical experience developing and hosting solutions on major cloud platforms such as Azure, AWS or Google Cloud
  • Experience building OLAP cubes or databases
  • Experience with data modelling methodologies such as Kimball or Data Vault
Qualification wording
Experience in a data engineering role working with enterprise data warehouses
Experience with both relational (RDBMS) and non-relational databases
Experience using Spark/Databricks for data processing and machine learning workloads
Knowledge of DevOps tools and practices
Experience working in Agile/Scrum teams
Hands-on experience with Python and SQL (Java or Scala experience is also beneficial)
Practical experience developing and hosting solutions on major cloud platforms such as Azure, AWS or Google Cloud
Experience building OLAP cubes or databases
Experience with data modelling methodologies such as Kimball or Data Vault
Apply at UnitedHealth Group

Posting record

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Status in our records
Live
First seen by us
Nov 13, 2026today
Recorded sightings
1
Reposted
once since Aug 18, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

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.

  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Azure
  • Databricks
  • dbt
  • Docker
  • Redshift
  • Snowflake
  • Spark
  • Airflow
  • GCP
  • Kubernetes
Where the posting names them
- Experience in a data engineering role working with enterprise data warehouses - Hands-on experience with Python and SQL (Java or Scala experience is also beneficial) - Experience processing high-volume datasets (100+ million rows)
- Experience designing, implementing and running data applications with Docker and Kubernetes - Working knowledge of public cloud platforms (Azure, AWS or Google Cloud) and of developing applications in Linux environments
Preferred Qualifications: - Practical experience developing and hosting solutions on major cloud platforms such as Azure, AWS or Google Cloud - Experience building OLAP cubes or databases
Our teams are at the forefront of building and adapting the latest technologies to propel healthcare forward in a way that better serves everyone. With our hands at work across all aspects of health, we use the most advanced development tools, AI, data science and innovative approaches to make the healthcare system work better for everyone. Optum Product Engineering Nexus (OPEN) are looking for a Senior Data Engineer who shall implement and operationalise Data pipelines and Data Transformation workloads on Databricks Azure Cloud for a small set of commercial products. The focus for this position will be the development, implementation and maintenance of Data Infra and Data processes on Azure Cloud hosted commercial Products leveraging Health related Data. You should be familiar with data related products and compute choices in the public cloud eco-system and understand how best to secure and manage these services in a high-availability environment. In addition to having an impact on a great Team, you'll also discover the career opportunities you'd expect from an industry leader. Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic or Ireland will have the opportunity to split their weekly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office.
- Experience with both relational (RDBMS) and non-relational databases - Experience with at least one cloud data warehouse, such as Snowflake, Vertica, Amazon Redshift or Azure Synapse
- Produce clear, thorough technical documentation AI-assisted engineering - Use AI-assisted development tools (such as Databricks Assistant, GitHub Copilot or equivalent) in day-to-day engineering, including code generation, refactoring, test creation, debugging and documentation - Review, validate and take ownership of AI-generated code, ensuring it meets quality, security and maintainability standards before release
Synapse - Experience using Spark/Databricks for data processing and machine learning workloads - Experience with dbt (data build tool)
- Experience using Spark/Databricks for data processing and machine learning workloads - Experience with dbt (data build tool) - Experience orchestrating data pipelines with Apache Airflow, including operators and hooks
- Experience orchestrating data pipelines with Apache Airflow, including operators and hooks - Experience designing, implementing and running data applications with Docker and Kubernetes - Working knowledge of public cloud platforms (Azure, AWS or Google Cloud) and of developing applications in
- Experience with dbt (data build tool) - Experience orchestrating data pipelines with Apache Airflow, including operators and hooks - Experience designing, implementing and running data applications with Docker and Kubernetes

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 10 other Senior Data Engineer jobs there since August 2026. 2 came down, usually after about 1 day. 8 are still up.

  1. ChicagoStill up after 59 days, first seen Sep 15
  2. Eden PrairieStill up after 42 days, first seen Oct 3
  3. PlymouthStill up after 25 days, first seen Oct 19
  4. DublinStill up after 15 days, first seen Oct 29
  5. Eden PrairieStill up after 15 days, first seen Oct 30
  6. Eden PrairieStill up after 14 days, first seen Oct 31
  7. GurugramStill up after 9 days, first seen Nov 4
  8. Eden PrairieStill up after 9 days, first seen Nov 4
  9. This jobUp 0 days so far, first seen Nov 13

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 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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

At UnitedHealth Group and Optum, we want to make healthcare work better for everyone. This depends on hiring the best and brightest. 


With a thriving ecosystem of investment and innovation, our business in Ireland is constantly growing to support the healthcare needs of the future.  


Our teams are at the forefront of building and adapting the latest technologies to propel healthcare forward in a way that better serves everyone. With our hands at work across all aspects of health, we use the most advanced development tools, AI, data science and 
innovative approaches to make the healthcare system work better for everyone.  


Optum Product Engineering Nexus (OPEN) are looking for a Senior Data Engineer who shall implement and operationalise Data pipelines and Data Transformation workloads on Databricks Azure Cloud for a small set of commercial products. The focus for this position will be the development, implementation and maintenance of Data Infra and Data processes on Azure Cloud hosted commercial Products leveraging Health related Data. You should be familiar with data related products and compute choices in the public cloud eco-system and understand how best to secure and manage these services in a high-availability environment. In addition to having an impact on a great Team, you'll 
also discover the career opportunities you'd expect from an industry leader. 


Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic or Ireland will have the opportunity to split their weekly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office.  

Primary Responsibilities: 

  • Data engineering and pipelines 

  • Design, build, test and maintain high-quality, scalable big data solutions, including real-time and near real-time data pipelines 

  • Write code and use appropriate tools to transform data, applying business logic defined with Optum business and technology partners 

  • Design, build and implement automated processes for the production release of data engineering, machine learning and business intelligence workloads 

  • Migrate data from legacy systems to new platforms 

  • Design and prototype monitoring models to track pipeline health and data quality 

  • Data architecture and governance 

  • Analyse raw data sources, transformation needs and structural requirements for new software and applications 

  • Design conceptual and logical data models and data flow diagrams 

  • Define security and backup strategies for data solutions 

  • Produce clear, thorough technical documentation AI-assisted engineering 

  • Use AI-assisted development tools (such as Databricks Assistant, GitHub Copilot or equivalent) in day-to-day engineering, including code generation, refactoring, test creation, debugging and documentation 

  • Review, validate and take ownership of AI-generated code, ensuring it meets quality, security and maintainability standards before release 

  • Coach engineers in the effective and responsible use of AI tooling, and help set team standards and practices for its use 

You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, while providing development opportunities for other roles you may be interested in.

Required Qualifications:

  • Experience in a data engineering role working with enterprise data warehouses 
  • Hands-on experience with Python and SQL (Java or Scala experience is also beneficial) 
  • Experience processing high-volume datasets (100+ million rows) 
  • Proven experience implementing ETL applications and applying data warehousing and data modelling 
  • principles in large-scale environments 
  • Experience with both relational (RDBMS) and non-relational databases 
  • Experience with at least one cloud data warehouse, such as Snowflake, Vertica, Amazon Redshift or Azure 

Synapse

  • Experience using Spark/Databricks for data processing and machine learning workloads 
  • Experience with dbt (data build tool) 
  • Experience orchestrating data pipelines with Apache Airflow, including operators and hooks 
  • Experience designing, implementing and running data applications with Docker and Kubernetes 
  • Working knowledge of public cloud platforms (Azure, AWS or Google Cloud) and of developing applications in 
     

Linux environments 

  • Knowledge of DevOps tools and practices 
  • Experience holding operational responsibility for commercial software products 
  • Demonstrable experience of AI-assisted software development, with a clear understanding of the limitations of 
     

AI-generated code 

  • Experience working in Agile/Scrum teams 

Preferred Qualifications:

  • Practical experience developing and hosting solutions on major cloud platforms such as Azure, AWS or Google Cloud
  • Experience building OLAP cubes or databases 
  • Experience with data modelling methodologies such as Kimball or Data Vault 

Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application. 

All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy. 

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.

 

Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.

 

 

 

Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2026 Optum Services (Ireland) Limited. All rights reserved.

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Pay

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Location & working pattern

Dublin, Leinster, Ireland

- Experience with data modelling methodologies such as Kimball or Data Vault Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application. All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.

More relevant text appears in the full description.

Work authorization
- Experience with data modelling methodologies such as Kimball or Data Vault Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application. All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.

More relevant text appears in the full description.

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