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.
Our Product Engineering team - Optum Product Engineering Nexus (OPEN) are looking for a Machine Learning Engineer who shall help us build and scale data quality and data observability solutions for our Engineering teams. The Teams have a mix of commercial products at ideate, manage and build stages.
We are seeking an ML Engineer to join a newly formed Product Engineering team working on a greenfield Business Intelligence (BI) product built on large-scale historical datasets. This role sits at the intersection of Data Engineering, Software Engineering, and ML Operations, with a solid emphasis on data quality, observability, and operational excellence.
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 or Letterkenny office and telecommuting from a home-based office in a hybrid work model.
Primary Responsibilities:
Build and maintain ML workflows with observability features to detect anomalies, and data quality issues in production pipelines
Implement monitoring and observability for data quality and pipeline reliability
Leverage automated validation frameworks (e.g. Great Expectations) to catch low quality data before it impacts products or downstream systems
Work within Databricks environments to support quality evaluation of data transformations and operational workflows
Integrate validation and observability in the operations and transformation pipelines built using DBT
Support incident response, triage and root cause analysis for production issues
Contribute to the development of data pipeline orchestration using tools such as Airflow
Partner closely with Data Engineers, Software Engineers, and Automation Engineers within a multi disciplinary value stream team
Assist with monitoring production batch data flows, improving operational visibility, and responding to data related incidents
Participate in sprint ceremonies, design discussions, and technical reviews with the wider team
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.
Required Qualifications:
Proven experience in building validation and observability controls on Data pipelines
Demonstrated operational experience of deploying, monitoring and maintaining systems in production including CI/CD pipelines with tooling such as GitHub Actions, Jenkins
Demonstrated knowledge of observability practices
Proven experience with python
Proven experience of partnering on the delivery of Software with ability to communicate and collaborate with team members
Proven experience with one or more public cloud computing platforms such as Azure, AWS \& GCP preference for Azure
Proven experience of working in a 'Big Data' eco-system with some experience in the following; One or more Data platforms (Databricks, Snowflake, Big Query), Orchestration tooling (Airflow, Azure Data Factory) and Innovative and passionate about new technologies
Preferred Qualifications:
Degree in Computer Science or related technical field
Demonstrated knowledge of professional software engineering practices \& best practices for the full software development agile life cycle, including coding standards, code reviews, source control management, build process, testing and operations
Proven experience with building validation controls on large datasets
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.