Job title: Data Engineer
Company: Abbott
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:Title: Data EngineerWorking at AbbottAt Abbott, you can do work that matters, grow, and learn, care for yourself and your 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 a high employer contributionTuition reimbursement, the student debt program, and 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 worldwide 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 the best place to work for diversity, working mothers, female executives, and scientists.The OpportunityThe Data Engineer is within our Informatics division in Abbott Rapid Diagnostics and will be based out of our Chicago (IL) (Willis Tower), Lake Forest (IL), or Charlottesville, ( VA) office. This role is on site.Our diagnostic solutions are used in hospitals, laboratories and clinics around the globe. The crucial information derived from our tests, instruments and informatics systems are often the first step in patient care decision making for hundreds of health conditions from heart attacks to blood disorders to infectious diseases and cancers.This role is part of a talented engineering team where you will work alongside product, architecture, and dev-ops teams to build high-quality data pipelines for healthcare solutions aggregating clinical data from our portfolio of medical devices.What You’ll Work OnCreate, deploy and optimize large scale dataUse extensive data engineering expertise to design and build solutions/ products for analyzing large data sets and identify patterns and relationshipsManage data sources, organize data and create data assets using identified open source or proprietary toolsDesign, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.Solve complex data problems to deliver insights that help the organization achieve its goals.Code in Python and Scala with tools like Apache Spark/Kafka to build a multi-cluster data warehouse.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 QualificationsBachelor’s degree in any of the following – Math, Physics, Computer Science, Statistics, Economics, Quantitative Sciences Experience leading & executing complex (multi stakeholder/multiyear) contract negotiations or equivalent of years of experience in similar role.Minimum 3 years of experience or master’s degree and one year internship or equivalent of years of experience.Preferred QualificationsStrong problem-solving skillsExperience in any from MS Azure, AWS, Python, Spark, hive, HBase, Hadoop, Kafka, YARN etc.Attention to detail and organization/ documentation skillsAbility to prioritize and triage deadline-driven tasks in a high-pressure environmentBasic knowledge of distributed computing, parallel processing and large-scale data managementExperience manipulating and analyzing complex, high-volume data from varying sourcesAbility to communicate complex quantitative analysis in a clear, precise, actionable mannerLearn 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.The base pay for this position is $75,300.00 – $150,700.00In specific locations, the pay range may vary from the range posted.JOB FAMILY: Product DevelopmentDIVISION: CMI ARDx Cardiometabolic and InformaticsLOCATION: United States
Chicago : Willis Tower Building 233 S Wacker Dr.ADDITIONAL LOCATIONS:WORK SHIFT: StandardTRAVEL: Not specifiedMEDICAL SURVEILLANCE: NoSIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)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.pdfEEO is the Law link – Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
Expected salary: $75300 – 150700 per year
Location: Chicago, IL
Job date: Fri, 07 Mar 2025 01:19:42 GMT
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Data Engineer
