Senior Data Engineer

Senior Data Engineer – Dublin or Letterkenny / Hybrid

Optum is a global organisation 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.

About the role:

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 Development Manager, you will be the leader of the Stratus Imaging Analytics team.  The Stratus Imaging Analytics team is focused on building our Analytics solution for our Enterprise Imaging portfolio.

The team is based in mainly in Ireland, with some resource in Canada.  The products has customers in Europe, Canada, and the United States.   We are looking for a Senior Data Engineer that is focused on delivery of value to our customers, and who will also have a passion for innovation and improvement. 

Are you someone who has passion on building solutions that will help enable improvement in healthcare through data and analytics?

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:

• Design, develop, and maintain data pipelines, to ingest, transform, and store healthcare data from various enterprise data sources  
• Analyze raw data sources, data transformation, structural requirements for new software and application 
• Identify, design, and implement internal process improvements, such as:    
  • Data encryption    
  • Data de-identification to ensure data security 
  • Role-based data access   
  • Automating manual processes 
  • Optimizing data delivery 
• Tuning and optimizing data processes for greater scalability, etc.   
• Design, build and implement automation processes for production release of data engineering, machine learning and business intelligence processes. 
• Code, test, document, and maintain high-quality and scalable Big Data solutions 
• Define security and backup strategy for data solutions 
• Build and implement batch and near real time data pipelines 
• Help to ensure successful deployment of newly implemented data solutions 
• Works with less structured, more complex issues 
• Serves as a technical leader and mentor to others   

Required Qualifications:

• Bachelor’s degree in computer science, engineering, a related field or equivalent industry experience  
• Extensive experience in SQL and object-oriented / object functional scripting language: Python, Scala, Java, etc. 
• Proficient with Azure, AWS or GCP 
• Proven experience with GitHub and cloud environment tools 
• Hands on experience of developing big data processes using big data tools – Spark, Hadoop, Kafka, etc. 
• Data Quality and Data Security process, tools and technologies knowledge 

Preferred Qualifications:

• Healthcare industry knowledge and experience with exposure to EDI, HIPAA, HL7 and FHIR integration standards 
• Previous experience in leading teams/people management and mentoring. 
• Data Virtualization tools and technology experience 
• Experience with Metadata management and Data Catalog management process, tools and technologies 
• Experience with Spark in data processing and machine learning processes. 
• Hands-on experience with related/complementary open-source software platforms and languages (e.g. Java, Angular, Scala Linux, Apache, Unix) 
• Experience with API technologies 
• Professional GCP Data Engineer Certification 

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 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. © 2024 Optum Services (Ireland) Limited. All rights reserved.