Principal Data Engineer

2 weeks ago

Dublin, Dublin City, Ireland Optum Full time
Principal Data Engineer and Azure Cloud Infrastructure – Dublin

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.

As a Principal Data Engineer you will manage Azure related data architecture and cloud infrastructure supporting complex risk models (statistical/AI/ML). The focus for this position will be the design, development and maintenance of the data architecture components (including ETL data pipelines) required to ingest data from sources and expose data to downstream consumers. You should be familiar with data products and compute choices in the public cloud eco-system and understand how best to secure and manage these services in a high-availability environment.

Working Schedule:

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 office 3 days a week and telecommuting from a home-based office in a hybrid work model.

Primary Responsibilities of the Principal Data Engineer:

1. Design, configure, manage data engineering infrastructure on the cloud (Databricks/Azure DataFactory/Azure Data Lake)

2. Maintain data ingestion and exposure (including via APIs) with high security and availability

3. Ensure data quality standards are established and enforced

4. Build infrastructure using code and repeatable designs in Terraform

5. Maintain Azure cloud infrastructure across prod and non-prod environments

6. Identify and resolve security and compliance vulnerabilities

7. Troubleshoot production support issues post-deployment and come up with solutions as required

8. Identify opportunities for improvement, optimize performance and scalability of existing solutions

9. Setup and maintain related documentation and standards

10. Prioritize and manage work to critical project timelines in a fast-paced environment

11. Partner with Data Science and Product leaders to design best practices and standards for developing and productionalizing analytic pipelines.

12. Mentor and train junior members of the team

Required qualifications:

1. Extensive hands-on experience developing data pipelines that demonstrate a strong understanding of software engineering principles

2. Excellent knowledge of Azure Services such as – Blobs, Functions, Azure Data Factory, Service Principal, Containers, Key Vault etc.

3. Experience working with both real-time and batch data, knowing the strengths and weaknesses of both and when to apply one over another

4. Experience developing and deploying APIs

5. Expert skills in Python, SQL, Spark

6. Experience designing best practice Data Architecture, Data Quality and Data Security process and implementing those utilizing the latest tools and technologies

7. Experience working with Terraform for cloud infrastructure automation and management

8. Bring innovative ideas to help continuously improve the application portfolio including the design, build, deploy, test and runtime within cloud ecosystems

9. Proven critical thinking skills and persistence to solve complex problems

10. Flexibility to take on various responsibilities in a start-up like team atmosphere

Preferred Qualifications:

1. Experience using DevOps tools, Git workflow and building CI/CD pipelines

2. Experience working in projects with agile/scrum methodologies

3. Have a solid understanding of Artificial Intelligence and Machine Learning capabilities

4. Work on Proof of Concepts for Big Data and Data Science

5. Understanding of United States Healthcare data

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.

#RPO #BBMEMEA

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