Data Engineer

Qualifications
Bachelor’s degree in any of the following – Engineering, Computer Science or other technical field
Minimum 6 years of relevant experience in data engineering/analytics space
Experience developing solutions for cloud computing services, cloud security and infrastructure on AWS and/or Azure
Benefits
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
Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan
Free coverage applies in the next calendar year
The base pay for this position is $+8,000.00 – $1+6,000.00
In specific locations, the pay range may vary from the range posted
Responsibilities
Design, develop, optimize, and maintain data architecture and pipelines for analyzing large data sets and identify patterns and relationships
Solve complex data problems to deliver insights that help the organization achieve its 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 the data from unauthorized use
Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components
Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices
Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions
Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management
Code in SQL to create curated data products
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

Research is fueled by data. Our research scientists need data to continue building innovative algorithms and they need an inventive data engineer to build the pipeline that will feed them.

What You’ll Work On
• Design, develop, optimize, and maintain data architecture and pipelines for analyzing large data sets and identify patterns and relationships.
• Solve complex data problems to deliver insights that help the organization achieve its 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 the data from unauthorized use
• Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components.
• Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices.
• Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions.
• Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.
• Code in SQL to create curated data products.

Required Qualifications
• Bachelor’s degree in any of the following – Engineering, Computer Science or other technical field
• Minimum 6 years of relevant experience in data engineering/analytics space
• Experience developing solutions for cloud computing services, cloud security and infrastructure on AWS and/or Azure

Preferred Qualifications
• Experience developing solutions on cloud services like SageMaker, EC2, S3, EMR, Redshift, IAM, etc.
• Experience developing and maintaining data warehouses in big data solutions
• Expertise in SQL and data analysis and 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 on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective
• Strong people skills, specifically in collaboration and teamwork
• High level of curiosity, creativity, and problem-solving capabilities

Apply Now
• Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year.

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: 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, 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 $+8,000.00 – $1+6,000.00. In specific locations, the pay range may vary from the range posted.

United States
California
Alameda Show on map Get directions