Sr. Data Engineer
Quick Summary
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,
What We Offer
~1 min readThis 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.
·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.
Requirements
~1 min read· 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.
· 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.
In specific locations, the pay range may vary from the range posted.
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.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
Location & Eligibility
About this job
- Pay per year
- $78,000–$156,000 a year
- 26% below the $157,500 median for Data Engineer jobs on Jobera (755 salaries).
- Posted
- 7 days ago
Listing Details
- Posted
- November 4, 2026
- First seen
- November 4, 2026
- Last seen
- November 10, 2026
Posting Health
- Days active
- 5
- Repost count
- 0
- Trust Level
- 45%
- Scored at
- November 10, 2026
Signal breakdown
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