Data/Cloud Engineer Full Time

Summary:

Abbott, a global healthcare leader with 114,000 colleagues, serves over 160 countries with innovative technologies in diagnostics, medical devices, nutritionals, and medicines. The Data/Cloud Engineer role supports research scientists by building data pipelines for algorithm development, enhancing healthcare solutions within a diverse, award-winning company.

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.

Requirements:

• 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.
• 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.

Benefits:

• The base pay for this position is $85,300.00 – $170,700.00.
• In specific locations, the pay range may vary from the range posted.
• 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.
• Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.