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.

     

JOB DESCRIPTION:

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

As a senior member of the Data Engineering & Analytics team, you will be building big data collection and analytics capabilities to uncover customer, product and operational insights. Candidate should be able to work on a geographically distributed team to develop data pipelines capable of handling complex data sets quickly and securely as well as operationalize data science solutions. Additionally, they will be working in a technology-driven environment utilizing the latest tools and techniques such as Databricks, Redshift, S3, Lambda, DynamoDB, Spark and Python. 

 

The candidate should have a passion for software engineering to help shape the direction of the team. Highly sought-after qualities include versatility and a desire to continuously learn, improve, and empower other team members. Candidate will support building scalable, highly available, efficient, and secure software solutions for big data initiatives.  

 

 

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 s