R&D Data Engineer

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

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

The primary purpose of the Data Engineer role is to design, develop, and maintain scalable data pipelines that ensure the efficient collection, storage, and processing of large datasets. This position is crucial for enabling data-driven decision making and supporting the overall business objectives by providing reliable and timely access to high-quality data. This position will also manage development, distribution and systems support of software systems, data management, data processing, and logistics for the R&D organization.

What you’ll work on

• Design, implement, and optimize automation to define, schedule, monitor, and control data processes.
• Develop, test and deploy algorithms for large-scale machine learning in a production environment.
• Automate and streamline metric collection and presentation to maximize speed, scalability and compliance with data-use regulations.
• Manage robust data pipelines: acquisition, transformation, and processing workflows.
• Perform advanced data processing and exploratory analysis
• Build and deploy machine learning models, and present results through intuitive visualizations.
• Collaborate with other developers and back-end data engineers to design and develop interactive data pipelines.
• Develop and maintain REST APIs to manage and facilitate data workflows.
• Ensure seamless integration of pipelines with distributed file and database systems.
• Effective advanced analytics and AI skills with a foundation in programming (e.g. R, python), database environment (e.g. big-data platforms and SQL skills), and dashboard development (e.g., EazyBI)

Required Qualifications

• Minimum 10 years in building and optimizing data processing pipelines.
• Proficiency in programming languages such as Python, and Java (Scala is a plus).
• In-depth understanding of Spark internals and real-time streaming technology (e.g., Kafka, KSQL, etc.)
• Strong experience with big data processing tools.
• Familiarity with ETL tools and expertise in managing post-loading transformations.
• Advanced knowledge of distributed file systems like S3 or EFS.
• Experience with cloud platforms such as AWS
• Understanding of machine learning algorithms and their application in large-scale data environments.
• Familiarity with data visualization tools (e.g., EazyBI, Tableau, Power BI, or others).
• Strong communication and collaboration skills, with a proven ability to work cross functionally with analysts, scientists and developers.
• Prior experience in the healthcare or other regulated industries

What We Offer

At Abbott, you can have a good job that can grow into a great career. We offer: 

• Training and career development, with onboarding programs for new employees and tuition assistance  
• Financial s