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 115,000 colleagues serve people in more than 160 countries.
JOB DESCRIPTION:
We’re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology.
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
This Data Engineer position can work out remotely within the U.S.
As a Data Engineer, you will contribute to the design, development, and maintenance of data pipelines and cloud-based data solutions that support analytics and reporting needs. You’ll work with scalable data platforms to ingest, transform, and model data while collaborating closely with engineering, product, and analytics teams to deliver reliable data solutions.
This role focuses on hands-on development and technical execution, with opportunities to learn modern data technologies and grow your impact over time. The technology stack includes Databricks, AWS (Redshift, S3, Lambda, DynamoDB), Spark, and Python.
We’re looking for someone curious, collaborative, and passionate about building quality data solutions that help improve patient outcomes.
What You’ll Work On
Design, build, and maintain data pipelines to support analytics, reporting, and downstream applications
Develop and maintain data ingestion solutions on AWS using AWS-native services
Build and optimize data models using Databricks and AWS data stores such as Redshift, RDS, and S3
Integrate and assemble large datasets to meet business and analytical requirements
Extract, transform, and load (ETL/ELT) data into approved tools and frameworks
Configure and maintain integration tools, databases, data warehouses, and analytical systems
Process structured and unstructured data into formats suitable for analysis, partnering with analysts as needed
Collaborate with engineering and technology teams to align data solutions with business needs
Monitor and improve data pipeline performance, reliability, and scalability
Write clean, well-documented code and follow established engineering best practices
Contribute to technical documentation and support existing architecture patterns
Participate in peer code reviews and team design discussions
Work cross-functionally with Engineering, Product, QA, and Analytics teams
Stay current with data engineering tools and industry trends and share learnings with the team
Qualifications
Bachelors Degree in Computer Science, Information Technology or other relevant field.
At least 1-3 years of recent experience in Software Engineering, Data Engineering or Big Data
Ability to work effectively within a team in a fast-paced changing environment
Knowledge of or direct experience with Databricks and/or Spark.
Software development experience, ideally in Python, PySpark, Kafka or Go, and a willingness to learn new software development languages to meet goals and objectives.
Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources
Knowledge of data cleaning, wrangling, visualization and reporting
Ability to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experience
Familiarity of databases, BI applications, data quality and performance tuning
Excellent written, verbal and listening communication skills
Comfortable working asynchronously with a distributed team
Preferred
Knowledge of or direct experience with the following AWS Services desired S3, RDS, Redshift, DynamoDB, EMR, Glue, and Lambda.
Experience working in an agile environment
Practical Knowledge of Linux
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.
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal
#software
The base pay for this position is
$61,300.00 – $122,700.00
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 > California : Remote
WORK SHIFT:
Standard
TRAVEL:
Yes, 10 % of the Time
MEDICAL SURVEILLANCE:
Not Applicable
SIGNIFICANT 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
