Senior Data Engineer

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 Fortune 5 business, we’re one of the world’s leading healthcare companies. There are no limits here on the resources you’ll have or the challenges you’ll encounter.

We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we’re on the constant lookout for fresh talent to join our expanding teams. 

As a Senior Data Engineer, you will be working with the Provider Growth team and will be responsible for connecting & analysing existing data assets across the enterprise and building out new data pipelines and ensuring data connectivity with the intent of crafting client-centric qualification & origination strategies. You will participate in efforts to grow the Provider Growth pipeline and coordinate campaign/outreach activities in support of predicted customer need. This will involve working with data scientists to support feature engineering that connects and aggregates data in new and innovative ways. You will work with various data domain experts to understand what data exists and how to maximize and model it for the data science them who will be building predictive models to enhance overall sales strategy effectiveness.

Schedule: Full-time position, Monday – Friday with standard working hours.

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 Offices and telecommuting from a home-based office in a hybrid work model. 

Primary Responsibilities:  

• Work with various data domain experts to understand & link what data exists across various domains (Operations, Product, Finance, Value Analytics, etc.)
• Design data models to efficiently connect data across data domains to support customer targeting analytics
• Develop and maintain data pipelines: Design, build, and manage data pipelines to ensure efficient data flow and integration across various systems
• Ensure data accuracy and relevance: Collaborate with data scientists and other cross-functional teams to ensure the accuracy and relevance of data used in sales strategies
• Support feature engineering: Work with data scientists to support feature engineering that connects and aggregates data across the enterprise
• Optimize data infrastructure: Continuously improve data infrastructure to support predictive models and enhance overall sales strategy effectiveness
• Collaborate with cross-functional teams: Work closely with teams such as Value Analytics, Ops, Product, and Finance to ensure seamless data connectivity and integration

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:

• Bachelor’s degree in data engineering, Computer Science, Information Technology, or a related field
• Proven experience in data engineering, including building and maintaining data pipelines
• Proficiency in programming languages such as Python, SQL, or Scala
• Experience with Cloud-based technologies, data migration/automation and data engineering practices
• Experience with ADF (Azure Data Factory), SSIS, or similar ETL tools
• Experience with data integration tools and platforms

Preferred Qualifications: 

• Familiarity with Salesforce and sales operations activities
• US Healthcare experience
• Knowledge of, Clinical Solutions, and/or Provider Revenue Cycle Management product and operations
• Familiarity with Optum’s Provider technology &/or services solutions
• Experience working in projects with agile/scrum methodologies

Soft Skills:

• Ability to work collaboratively in a team environment
• Excellent analytical and problem-solving skills
• Effective communication skills to convey complex data insights to non-technical stakeholders

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.

 

 

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 Traveler community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2024 Optum Services (Ireland) Limited. All rights reserved.

 

 

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