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Data Engineer, Healthcare Economics

Optum -
Dublin, County Dublin

Apply Now

Job details

Full-time
8 days ago

Qualifications

CI/CD
Azure
Big data
DevOps
Spark
Data analysis skills
Git
Google Cloud Platform
Java
SQL
AWS
Scala
Scripting
Agile
Predictive analytics
Kafka
Communication skills
Python
Hadoop

Full job description

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.

As a Data Engineer at Optum Health Ireland, you will play a key role in optimizing the flow of consumer data and delivering actionable insights that empower members to make informed healthcare decisions and reduce costs. You'll be part of a dynamic team focused on migrating consumer data to the cloud, enriching datasets with new sources, and enhancing the accuracy of predictive models to drive organizational efficiency.

In this role, you'll design and implement robust data solutions, contribute to data planning, and collaborate cross-functionally with business and analytics teams. Your work will directly support Optum's mission to lower healthcare costs and help people live healthier lives.

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

What you will do:

Data Pipeline Development: Contribute to the building and maintaining of ETL pipelines to ensure seamless data flow from diverse sources into centralized repositories (e.g., data lakes, data warehouses), while upholding data quality and integrity
Data Integration: Consolidate data from databases, APIs, streaming platforms, and external providers to create a unified foundation for analytics and reporting
Data Transformation & Processing: Clean, normalize, and aggregate complex datasets to prepare them for analysis, reporting, and machine learning applications
Frameworks & Best Practices: Contribute to the development of reusable frameworks and enforce best practices in coding, deployment, and pipeline orchestration
Data Governance: Implement and adhere to governance protocols aligned with company standards to ensure compliance and data security
Monitoring & Support: Proactively monitor data systems, develop alerting mechanisms, and resolve issues to maintain system reliability and data integrity

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

What you will bring:

If you don't meet every single requirement, don't let that hold you back - we're just as excited about potential as we are about qualifications and experience, and you could be exactly who we're looking for.

Proven experience in building scalable data pipelines with solid software engineering principles
Proven background in data analysis and mining
Proven hands-on experience with cloud platforms and large-scale datasets
Demonstrated proficiency in SQL and object-oriented/functional programming languages (e.g., Python, Scala, Java)
Demonstrated familiarity with DevOps tools, Git workflows, and CI/CD pipeline development
Demonstrated solid communication skills and ability to collaborate across teams and levels
Proven experience with Snowflake or Databricks
Demonstrated success working with cloud technologies

Other useful skills and experience include:

Proven experience with big data tools such as Spark, Hadoop, Kafka
Demonstrated proficiency in ETL/ELT tools and orchestration platforms (e.g., ADF, Airflow)
Proven exposure to ML engineering and real-time/batch data processing
Demonstrable Cloud deployment experience on AWS, Azure, or GCP
Proven Agile/Scrum project experience
Demonstrable Shell scripting expertise
Proven ability to navigate matrixed environments and work with both technical and business stakeholders
Proven solid delivery capabilities

What We Offer:

Opportunities for professional development
Inclusive and supportive team culture
Key benefits: Private health insurance, wellness programs, matching pension contribution, lunch provided by the company, training opportunities, employee donations matching and others

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.

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.

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.

#BBMEMEA

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