Job Description

Position Overview

Abbott is a global healthcare leader dedicated to helping people live more fully at all stages of life. Our diverse portfolio includes leading businesses and products in diagnostics, medical devices, nutritionals, and branded generic medicines. With 114,000 colleagues serving people in over 160 countries, Abbott offers opportunities to do meaningful work, grow, learn, and thrive.

Employment Type

Full-time

Location Type

[Information not provided]

Salary

[Information not provided]

Working at Abbott

At Abbott, you can:

• Pursue career development with an international company.
• Qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
• Benefit from an excellent retirement savings plan with high employer contribution.
• Access tuition reimbursement, the Freedom 2 Save student debt program, and the FreeU education benefit for bachelor's degrees.
• Work for a company recognized as a great place to work globally and named one of the most admired companies by Fortune.
• Be part of an organization recognized as one of the best big companies to work for, and a best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

Our research scientists rely on data to build innovative algorithms. This role is for an inventive data engineer who will build the data pipelines essential for their work.

What You’ll Work On

• Design, develop, optimize, and maintain data architecture and pipelines for analyzing large datasets to identify patterns and relationships.
• Solve complex data problems to deliver insights that support organizational goals.
• Manage data sources, organize data, and create data assets using identified open-source or proprietary tools.
• Design and implement cloud security and access control mechanisms to protect data from unauthorized use.
• Interact with other technology teams to define, prioritize, and ensure smooth deployments of operational components.
• Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices.
• Foster a culture of sharing, reuse, and design for scale, stability, and operational efficiency of data and analytical solutions.
• Codify best practices into accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.
• Write SQL code to create curated data products.

Required Qualifications

• Bachelor’s degree in Engineering, Computer Science, or another technical field.
• Minimum 6 years of relevant experience in data engineering/analytics.
• Experience developing solutions for cloud computing services, cloud security, and infrastructure on AWS and/or Azure.

Preferred Qualifications

• Experience developing solutions on cloud services such as SageMaker, EC2, S3, EMR, Redshift, IAM, etc.
• Experience developing and maintaining data warehouses within big data solutions.
• Expertise in SQL and data analysis.
• Strong hands-on expertise with at least one programming language: Python and/or Scala.
• Strong knowledge in one or more of the following big data tools: Spark, Hive.
• Strong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experience.
• Up-to-date knowledge of industry trends in analytics (data acquisition, processing, engineering, and management).
• Strong people skills, particularly in collaboration and teamwork.
• High level of curiosity, creativity, and problem-solving capabilities.

Application Instructions

Apply Now

Company Information

Learn more about our health and wellness benefits: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life.

Abbott is an Equal Opportunity Employer.