Abbott Laboratories
Data Engineer
Abbott Laboratories, Alameda, California, United States, 94501
Working at AbbottAt 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) PPOAn excellent retirement savings plan with high employer contributionTuition 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 OpportunityResearch 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 OnDesign, 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 goalsManage data sources, organize data and create data assets using identified open source or proprietary toolsDesign and implement cloud security and access control mechanisms to protect the data from unauthorized useInteract 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 QualificationsBachelor’s degree in any of the following – Engineering, Computer Science or other technical fieldMinimum
6
years of
relevant experience in data engineering/analytics spaceExperience developing solutions for cloud computing services, cloud security and infrastructure on AWS and/or AzurePreferred QualificationsExperience developing solutions on cloud services like SageMaker, EC2, S3, EMR, Redshift, IAM, etc.Experience developing and maintaining data warehouses in big data solutionsExpertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python and/or ScalaStrong knowledge in one or more of the following big data tools: Spark, HiveStrong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experienceUp-to-date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspectiveStrong people skills, specifically in collaboration and teamworkHigh level of curiosity, creativity, and problem-solving capabilitiesApply 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.comFollow 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 $95,500.00 – $190,900.00. In specific locations, the pay range may vary from the range posted.
#J-18808-Ljbffr
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 OpportunityResearch 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 OnDesign, 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 goalsManage data sources, organize data and create data assets using identified open source or proprietary toolsDesign and implement cloud security and access control mechanisms to protect the data from unauthorized useInteract 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 QualificationsBachelor’s degree in any of the following – Engineering, Computer Science or other technical fieldMinimum
6
years of
relevant experience in data engineering/analytics spaceExperience developing solutions for cloud computing services, cloud security and infrastructure on AWS and/or AzurePreferred QualificationsExperience developing solutions on cloud services like SageMaker, EC2, S3, EMR, Redshift, IAM, etc.Experience developing and maintaining data warehouses in big data solutionsExpertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python and/or ScalaStrong knowledge in one or more of the following big data tools: Spark, HiveStrong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experienceUp-to-date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspectiveStrong people skills, specifically in collaboration and teamworkHigh level of curiosity, creativity, and problem-solving capabilitiesApply 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.comFollow 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 $95,500.00 – $190,900.00. In specific locations, the pay range may vary from the range posted.
#J-18808-Ljbffr