Data/Cloud Engineer
United States of America : Remote
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.
- 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
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
$85,300.00 – $170,700.00In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Product Development
DIVISION:
ADC Diabetes Care
LOCATION:
United States of America : Remote
ADDITIONAL LOCATIONS:
United States > Alameda : 1360-1380 South Loop Road, United States > California : Remote
WORK SHIFT:
Standard
TRAVEL:
Not specified
MEDICAL SURVEILLANCE:
No
SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)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.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf Apply
Job Profile
Remote Remote work
Benefits/PerksCareer development Education benefit Education benefits Excellent retirement savings plan Freedom 2 Save student debt program Free medical coverage FreeU education benefit Great Place to Work Health and wellness benefits Medical coverage Recognized as a great place to work Remote work Retirement savings Retirement savings plan Retirement savings plan with high employer contribution Student debt program Tuition reimbursement Work that matters
Tasks- Advise data professionals
- Code in SQL
- Codify best practices
- Collaboration
- Data Analysis
- Design data architecture
- Develop data pipelines
- Implement cloud security
- Manage data sources
- Product development
- Reporting
- Research
- Solve data problems
Analytical Analytics AWS Azure Best Practices Big Data Big Data Solutions Branded generic medicines Cloud Cloud Computing Cloud Security Cloud Services Collaboration Computer Science Data analysis Data Architecture Data engineering Data Governance Data Warehousing Diabetes Care Diagnostics EC2 Education Engineering English ETL Healthcare Hive IAM Management Medical Devices Nutritionals Operational Efficiency PDF Problem-solving Product Development Programming Python Redshift Reimbursement Reporting Reporting tools Research S3 Scala Spark SQL Teamwork
Experience6 years
EducationBachelor's degree Computer Science DO Engineering Healthcare Science Technical field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9