R&D Data Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Minimum 10 years of experience in building and optimizing data processing pipelines., Proficiency in programming languages such as Python and Java, with Scala as a plus., Deep understanding of Spark internals and real-time streaming technologies like Kafka and KSQL., Experience with big data processing tools, ETL processes, and cloud platforms such as AWS..

Key responsibilities:

  • Design, develop, and maintain scalable data pipelines for large datasets.
  • Implement automation for data processes and develop machine learning algorithms in production.
  • Manage data workflows including acquisition, transformation, and processing.
  • Collaborate with cross-functional teams to develop interactive data pipelines and visualizations.

Abbott logo
Abbott Health Care XLarge https://www.abbott.com/
10001 Employees
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Job description

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 security through competitive compensation, incentives and retirement plans  
  • Health care and well-being programs including medical, dental, vision, wellness and occupational health programs 
  • Paid time off  
  • 401(k) retirement savings with a generous company match 
  • The stability of a company with a record of strong financial performance and history of being actively involved in local communities 

Learn more about our benefits that add real value to your life to help you live fully:  www.abbottbenefits.com  

Follow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity. 

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.

  

     

The base pay for this position is

$97,300.00 – $194,700.00

In specific locations, the pay range may vary from the range posted.

     

JOB FAMILY:
Product Development

     

DIVISION:
ADC Diabetes Care

        

LOCATION:
United States of America : Remote

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:
Standard

     

TRAVEL:
Not specified

     

MEDICAL SURVEILLANCE:
Not Applicable

     

SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)

     

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

     

EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf

     

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Health Care
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication

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