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Sr. Data Engineer

Abbott

Madison, WIJob$78–156K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$78–156K/yr
Location
Madison, WI
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Senior Data Engineer will design, build, and optimize data pipelines and models for Abbott’s Enterprise Data Customer Experience team in the Cancer Diagnostics division. The data foundation supports patient and provider experiences and a Customer Data Platform that powers personalized Braze communications. The role includes technical decision-making, pipeline reliability and quality, cross-functional partnership, and mentoring junior engineers.

Skills & qualifications

RequiredNice to have

Skills

SparkDatabricksSnowflakePythonSQLETL PipelinesData ModelingRelational DatabasesDimensional DatabasesNoSQL DatabasesDelta LakeParquetAvroAWS S3AWS SQSGitLabREST API DevelopmentTableauJiraConfluenceCustomer Data PlatformsBraze

Qualifications

Bachelor's in Listed Fields or High School Diploma+4 Years Relevant Experience5 Years Data Engineering ExperienceUS Work Authorization Without Sponsorship

Benefits

Medical Insurance
401(k) Match
Tuition Assistance

Full job description

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:

·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.

An Equal Opportunity Employer

Abbot welcomes and encourages diversity in our workforce.

We provide reasonable accommodation to qualified individuals with disabilities.

To request accommodation, please call 224-667-4913 or email [email protected]

How this job compares

Set against the 6,316 open Data Engineer jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This posting$78–156K/yr
  • Wisconsin median$108–210K/yr51 salary ranges
  • US median$124–208K/yr4,930 salary ranges

This range's midpoint, $117K, is 24% below the Wisconsin median midpoint ($154K) — in the lowest quarter of Data Engineer salary ranges in Wisconsin.

Openings
Olive Jobs lists 76 open Data Engineer jobs in Wisconsin and 6,316 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Wisconsin
Experience
This posting asks for at least 4 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,498 postings).
Education
2,401 of the 6,316 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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