Lead hands-on design and delivery of scalable cloud-based data platforms and Lakehouse solutions, build high-volume batch and streaming pipelines, define standards for data modeling, quality, lineage, security, and observability, create reusable patterns, mentor engineers, and partner with product, AI, security, and governance stakeholders to enable analytics and AI use cases.
Requisition Number: 2378621
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.
Optum Product Engineering Nexus (OPEN) are looking for a Principal Data Engineer who will lead the design, build, and evolution of data solutions driving new products that serve U.S. healthcare. You will work at the intersection of engineering, analytics, and business strategy-building scalable, trusted data platforms and enabling advanced analytical, data science and artificial intelligence capabilities.
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.
What you will do:
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:
Other useful skills and experience include:
What We Offer:
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
#BI-Hybrid
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.
Optum Product Engineering Nexus (OPEN) are looking for a Principal Data Engineer who will lead the design, build, and evolution of data solutions driving new products that serve U.S. healthcare. You will work at the intersection of engineering, analytics, and business strategy-building scalable, trusted data platforms and enabling advanced analytical, data science and artificial intelligence capabilities.
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.
What you will do:
- Serve as the hands-on data engineering lead for strategic initiatives, setting technical direction while designing and delivering critical platform capabilities
- Lead the transition from separate data tenancies to a reusable multitenant architecture, with clear patterns for tenant isolation, access control, and data privacy
- Design and build scalable, reliable data products and platform components using modern cloud, Lakehouse, and software engineering practices
- Partner closely with product, business, AI, architecture, security, governance, and engineering stakeholders to translate complex needs into pragmatic technical roadmaps and solutions
- Establish and champion standards for data modeling, data quality, lineage, observability, testing, security, and operational readiness
- Create reference implementations and reusable engineering patterns that improve delivery consistency and reduce duplication
- Provide technical mentorship, design guidance, and constructive review to engineers, raising capability across the team without direct people-management responsibility
- Evaluate architectural tradeoffs and emerging technologies, balancing scalability, reliability, security, cost, and speed of delivery
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:
- Bachelor's degree in a relevant field, or equivalent professional experience
- Demonstrated experience providing technical leadership for complex data products or platforms while remaining hands-on in design and delivery
- Proven extensive experience designing and building scalable data platforms, Lakehouse or data warehouse solutions, and high-volume batch or streaming data pipelines within public cloud environments
- Demonstrated advanced proficiency in SQL and a general-purpose programming language such as Python, Java, or Scala
- Demonstrated solid understanding of data modeling, distributed data processing, metadata management, data quality, lineage, and observability
- Proven experience designing trusted data and semantic layers for analytics, data science, or AI use cases
- Proven experience making and communicating architectural decisions across security, reliability, performance, scalability, cost, and maintainability considerations
- Demonstrated solid understanding of software engineering practices, including automated testing, version control, CI/CD, infrastructure as code, and operational support
- Demonstrated understanding of cloud security, identity and access management, tenant isolation, and privacy principles for sensitive data
- Proven experience partnering with product, business, architecture, AI, security, and governance stakeholders to translate ambiguous requirements into deliverable technical strategies
- Proven ability to mentor engineers, influence technical direction, and communicate complex concepts clearly to technical and non-technical audiences
Other useful skills and experience include:
- Proven hands-on experience with Azure data services, Databricks, Apache Spark, or similar technologies
- Proven experience working with Snowflake, dbt, Terraform, or equivalent technologies
- Proven experience designing multitenant data platforms, including reusable architectures and tenant-isolation patterns
- Demonstrated experience enabling Generative AI or conversational analytics solutions leveraging enterprise data, including retrieval, semantic modeling, grounding, or evaluation techniques
- Demonstrated knowledge of data cataloging, governance, and security controls for sensitive or regulated data
- Proven experience within the healthcare industry
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
#BI-Hybrid
Similar Jobs at Optum
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop data insights and analytical solutions supporting Payment Integrity transformation and operational performance. Analyze medium and large datasets, build reporting and self-service dashboards, monitor trends, perform data quality checks, and ensure outputs are accurate and auditable. Partner with data leaders, stewards, subject matter experts, and business stakeholders to document requirements, translate needs into solutions, and communicate findings that guide transformation priorities.
Top Skills:
AgileDatabricksPower BISnowflakeSQLTableauVBAWaterfall
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, test, and maintain scalable data engineering solutions, including automated releases, ETL processes, data models, real-time pipelines, monitoring, legacy migrations, and security strategies. Transform raw data using business logic, support machine learning and business intelligence workloads, and produce technical documentation. The role requires extensive experience with cloud platforms, SQL, databases, data warehousing, Spark, Databricks, Airflow, Kubernetes, Docker, Python, and related data technologies.
Top Skills:
Amazon RedshiftAmazon Web Services (Aws)Apache AirflowApache KafkaSparkAzure SynapseDatabricksDbtDockerGoogle Cloud Platform (Gcp)HadoopJavaKubernetesLinuxAzurePythonScalaSnowflakeSQLVertica
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Senior leader responsible for designing, delivering, and improving BI, reporting, analytics, and data management. Partners with stakeholders to prioritize initiatives, ensure data quality, define metrics, drive automation and AI-first improvements, and lead a team of analytics specialists to support operational and strategic decision-making.
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
