Job Description
Director of Data Engineering
Optum is a global healthcare company that delivers care and technology to help millions of people live healthier lives. We are seeking a highly skilled Director of Data Engineering to lead our data engineering team in Dublin or Letterkenny/Hybrid. As a Director of Data Engineering, you will be responsible for developing a new, cutting-edge big-data platform that supports advanced analytics and machine learning models to improve health outcomes for our members.
Key Responsibilities:
- Lead and mentor a talented team of data engineers, fostering a culture of collaboration, innovation, and continuous learning.
- Work with business units in Unitedhealthcare's affordability department to support advanced analytics & strategy teams data needs to help lower medical & pharmacy costs.
- Collaborate with Data Science and Business Intelligence leaders to design and implement a secure, compliant, and scalable data infrastructure to support the organization's growing data needs.
- Build common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines.
- Identify, design, and champion process improvements throughout the processing lifecycle for data quality initiatives, data encryption, data de-identification, role-based data access, automating manual processes, optimizing data delivery, and tuning and optimizing data processes for greater scalability.
Requirements:
- MS/BA degree in Computer Science, Engineering, Mathematics, or other technology fields.
- Proven track record of building and scaling high-performing data engineering teams.
- Deep understanding of DevOps tools, Git workflow, and building CI/CD pipelines.
- Strong experience in data engineering leadership roles, preferably within the healthcare industry.
- Strong experience in data architecture, data modeling, data warehousing, and big data technologies (Snowflake, Scala, Spark, PySpark, etc.) as well as cloud computing platforms (AWS, Azure, GCP).
- Strong leadership qualities, including strategic thinking, problem-solving, cross-team collaboration.
- A passion for innovation and a desire to make a significant impact on the healthcare industry.
Preferred Qualifications:
- Master's degree in computer science, Engineering, Mathematics, or other technology-related fields.
- Healthcare industry knowledge and experience.
- Data engineering certifications.
- Data virtualization tools and technology experience with tools like Python Dash, Tableau, R-shiny, etc.
- Experience building statistical models using SAS or R.
- ML and/or AI model development and deployment.
About Optum:
At Optum, 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 and Inclusion:
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.