Principal Data Engineer
AbbottAbout the role
JOB DESCRIPTION:
Our medical devices, with revenue of >$14B in 2021, is a global leader and help more than 10,000 people have healthier hearts, improve the quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks.
Working at Abbott
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:
Career development with an international company where you can grow the career you dream of .
Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
An excellent retirement savings plan with high employer contribution
Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
The Opportunity
This Principal Data Engineer position works out of Princeton, NJ, Chicago, IL, Plano, TX, or Minneapolis, MN, in the Medical Devices Digital Solutions organization.
The Principal Data Engineer role will work closely with cross-functional product teams and be responsible for designing, developing, and deploying state-of-the-art data engineering techniques and streamlined data ingestion processes to extract valuable insights and intelligence from large and complex medical datasets (structured and unstructured data). The Principal Data Engineer role will develop standards, guidelines, and direction for data modeling and standardization that will directly contribute to enhancing the quality of patient care and developing innovative medical devices and therapy solutions.
WHAT YOU’LL DO
Lead and contribute hands-on to major data engineering initiatives from inception to delivery.
Analyze data to identify trends and insights.
Collaborate with product and engineering teams to define data requirements and drive data-driven decision-making.
Design and implement data models to effectively support various product use cases.
Design, implement, and maintain scalable and optimized data architectures that meet evolving business needs.
Evaluate and recommend appropriate data storage solutions, ensuring data accessibility and integrity.
Develop and continuously optimize data ingestion processes for improved reliability and performance.
Design, build, and maintain robust data pipelines and platforms.
Establish monitoring and alerting systems to proactively identify and address potential data pipeline issues.
Support Data infrastructure needs such as cluster management and permission.
Develop and maintain internal tools to streamline data access and analysis for all teams.
Create and deliver documentation to educate product teams on data best practices and tools.
Communicate technical concepts effectively to both technical and non-technical audiences.
EDUCATION AND EXPERIENCE YOU’LL BRING
Required:
Master’s Degree in Data Science, Computer Science, Statistics, or a related field plus 10 years of experience in data engineering with a strong focus on data architecture and data ingestion.
Experience in the Life Science Industry.
Strong understanding of data modeling (conceptual, logical, and physical) using different data modeling methodologies and analytics concepts.
Proven experience designing, building, and maintaining data pipelines and platforms.
Expertise in data integration, ETL tools, and data engineering programming/
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