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, Dynamo

DB, 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:

• Design and implement data pipelines to be processed and visualized across a variety of projects and initiatives.
• Develop and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services.
• Design and optimize data models on AWS Cloud using Databricks and AWS data stores such as Redshift, RDS, S3.
• Integrate and assemble large, complex data sets that meet a broad range of business requirements.
• Read, extract, transform, stage and load data to selected tools and frameworks as required and requested.
• Customizing and managing integration tools, databases, warehouses, and analytical systems.
• Process unstructured data into a form suitable for analysis and assist in analysis of the processed data.
• Working directly with the technology and engineering teams to integrate data processing and business objectives.
• Monitoring and optimizing data performance, uptime, and scale; maintaining high standards of code quality and thoughtful design.
• Create software architecture and design documentation for the supported solutions and overall best practices and patterns.
• Support team with technical planning, design, and code reviews including peer code reviews.
• Provide Architecture and Technical Knowledge training and support for the solution groups.
• Develop good working relations with the other solution teams and groups, such as Engineering, Marketing, Product, Test, QA.
• Stay current with emerging trends, making recommendations as needed to help the organization innovate.

• Bachelors Degree in Computer Science, Information Technology or other relevant field.
• At least 2 to 6 years of recent…