Sr. 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 122,000 colleagues serve people in more than 160 countries.

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your 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 a 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 worldwide 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 the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of our Madison, WI location in the Cancer Diagnostics division. We are cancer fighters, united by our mission to change lives by providing earlier, smarter answers. Through advances in cancer detection and treatment guidance, we will help eradicate the disease and the suffering it causes.

As the Sr. Data Engineer, you’ll have the chance to design, build, and optimize the data pipelines and models of the Enterprise Data Customer Experience (EDCX) team, the data foundation behind patient and provider experiences across our cancer diagnostics portfolio, including the Customer Data Platform (CDP) that powers personalized Braze communications.

What You’ll Work On

·Design, develop, and test scalable ETL data pipelines and data models in Databricks (Spark, Python, SQL) that feed the Customer Data Platform and power customer journey orchestration.

· Lead design reviews, evaluate alternatives, and make key technical decisions that shape the team’s delivery approach and data architecture.

· Troubleshoot and resolve data and pipeline issues, owning data quality, performance, security, and reliability with minimal oversight.

· Partner with CX product managers, business stakeholders, and fellow engineers to turn requirements into well-documented data solutions, with clear plans and status updates.

· Mentor and coach junior engineers while promoting engineering best practices and Agile delivery in Jira and Confluence.

Required Qualifications

· Bachelor’s Degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience in lieu of a Bachelor’s Degree.

· Experience with Spark on Databricks or Snowflake; Python and SQL development; ETL data pipelines; and data modeling using relational, dimensional, and/or NoSQL databases.

·  Authorization to work in the United States without sponsorship.

Preferred Qualifications

·  5 years of experience in data engineering, building enterprise data pipelines.

· Proficient in Databricks and Delta Lake, big data file formats (Parquet, Avro), AWS (S3, SQS) and GitLab, REST API development, Tableau, and Jira/Confluence.

· Familiarity with customer data platforms and marketing communication tools such as Braze.

The base pay for this position is $78,000.00 – $156,000.00. In specific locations, the pay range may vary from the range posted.