Senior Data Engineer, E&I Affordability

Número de la requisición: 2323406
Categoría de la vacante: Technology
Localização da vaga: Dublin, Leinster

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Senior Data Engineer, E&I Affordability- Dublin, Letterkenny

UnitedHealth Group is a health care and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of two distinct and complementary businesses, UnitedHealthcare and Optum, working to build a better health system for all. Here, your contributions matter as they will help transform health care for years to come. Make an impact with a diverse team that shares your passion for helping others. 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.  Join us and do your life’s best work

 About the role:  

As a Senior Data Engineer within the E&I Affordability Data Engineering and Analytics team, you will lead the design and development of scalable, governed data solutions that power analytics, reporting, and operational insights for U.S. healthcare affordability initiatives. This role combines deep expertise in data architecture, pipeline engineering, and cloud technologies with strong software engineering fundamentals to deliver secure, high-quality data products. You will collaborate with architects, data stewards, and business teams to ensure data accuracy and accessibility, while also building AI-powered applications that drive innovation and efficiency. 

Primary responsibilities of the Senior Data Engineer, E&I Affordability:

  • Learning the complexities of the US Healthcare system

  • Collaborate with business stakeholders, ideation teams and data sciences teams to refine data requirement and roadmaps

  • Design, develop, and maintain robust data pipelines and create a trusted, scalable data layer for business users and downstream applications. This role focuses on enabling analytics, reporting, and operational insights by delivering high-quality, governed data solutions. You’ll collaborate with architects, data stewards, and business teams to ensure data is accurate, secure, and accessible.

  • Build AI solutions leveraging sound software engineering and coding fundamentals combined with your data engineering skills, delivering data driven affordability in healthcare.  

 You’ll 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 provide development for other roles you may be interested in. 

Required qualifications of the Senior Data Engineer, E&I Affordability:

  • Bachelor’s degree (or higher) in a relevant subject or equivalent experience

  • Ability to write efficient, maintainable code (Python preferred), sound software engineering fundamentals and systems design and architecture

  • Experience in Data modeling, data architecture and designing complex data models

  • Experience in Writing, understanding, explaining and tuning complex queries (SQL)

  • Experience in Transforming big data (PySpark or Snowpark preferred)

  • Experience in Any data workflow orchestration tool (ADF or Airflow preferred)

  • Experience in Any cloud-based data analytics platform (Azure Databricks preferred)

  • At least one RDBMS (Snowflake preferred)

  • Configuring and using version control and CI-CD processes (Git preferred)

  • Proven senior level experience in data engineering and designing enterprise data solutions

  • Understanding of data governance in a controlled environment

Preferred qualifications of the Senior Data Engineer, E&I Affordability:

  • Building real world AI powered applications and agentic AI solutions. Experience with frameworks like LangChain, LangGraph and CrewAI a big plus

  • Prior experience in platform engineering is a plus 

  • Prior experience in data analytics and visualization

  • Experience building applications with Streamlit

  • Containerization (Kubernetes preferred)

 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 marginalised 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. © 2023 Optum Services (Ireland) Limited. All rights reserved.

 #RPO 

Información adicional sobre la vacante

Número de la requisición 2323406

Segmento de negocio Optum

Disponibilidad para viajar No

Ubicaciónes adicionales de la vacante

Letterkenny, Ulster, IE

Estado de horas extras Exempt

Vacante de teletrabajo No