Senior Data Engineer

Senior Data Engineer

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.

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.

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.
• 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.

This Senior Data Engineer position can work remotely within the U.S.

Are you ready to apply your technical expertise to make a real impact in the medical field and help improve the lives of people with diabetes? This role offers the opportunity to lead cloud-based big data engineering efforts, including data wrangling, analysis, and pipeline development. You'll help define and implement the organization's Big Data strategy, working closely with data engineers, analysts, and scientists to solve complex business problems using data science and machine learning.

As a senior member of the Data Engineering & Analytics team, you'll build scalable data solutions that uncover insights across customer behavior, product performance, and operations. You'll work in a distributed team environment using modern technologies like Databricks, Redshift, S3, Lambda, DynamoDB, Spark, and Python. The ideal candidate is passionate about software engineering, thrives in fast-paced environments, and brings versatility, curiosity, and a collaborative spirit to the team.

What You'll Work On :

Qualifications :

Preferred :

The base pay for this position is $75,300.00 $150,700.00. In specific locations, the pay range may vary from the range posted.