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. 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. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. 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 Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: 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 , on Facebook at 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.