Data/Cloud Engineer

Abbott Laboratories; United States; Remote; USD 85,000 - 171,000; Full time

Job summary

An innovative healthcare leader seeks a talented Data Engineer to design and optimize data pipelines for analyzing large datasets. In this role, you will tackle complex data challenges, collaborate with research scientists, and implement cloud security measures to safeguard data integrity. You will have the opportunity to work with cutting-edge technologies and contribute to impactful projects that enhance healthcare solutions. Join a diverse and inclusive environment where your skills can flourish and make a real difference in people's lives. This is a fantastic opportunity to grow your career in a supportive and dynamic setting.

Benefits

Free medical coverage

Retirement savings plan

Tuition reimbursement

Student debt program

Education benefits

Career development opportunities

Qualifications

• 6+ years of experience in data engineering/analytics.
• Expertise in cloud computing services and SQL.

Responsibilities

• Design and maintain data architecture and pipelines.
• Solve complex data problems to deliver insights.

Skills

Data Engineering

Cloud Computing

SQL

Python

Data Analysis

ETL

Collaboration

Problem Solving

Education

Bachelor’s degree in Engineering

Bachelor’s degree in Computer Science

Tools

AWS

Azure

Spark

Hive

SageMaker

Redshift

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:

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: 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.

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.

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).