Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
United States > Madison : 1 Exact Lane
Actively hiring, first seen by us todayThe base pay for this position is $78,000.00 – $156,000.00In specific locations, the pay range may vary from the range posted. JOB FAMILY:Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design, develop, and test scalable ETL pipelines and data models in Databricks
Lead design reviews and make key technical decisions on data architecture
Troubleshoot pipeline issues and own data quality, performance, security, and reliability
Partner with product managers and stakeholders to turn requirements into documented data solutions
Mentor and coach junior engineers on engineering best practices
Design, develop, and test scalable ETL data pipelines and data models in Databricks
Lead design reviews, evaluate alternatives, and make key technical decisions
Troubleshoot and resolve data and pipeline issues, owning data quality, performance, security, and reliability
Partner with CX product managers, business stakeholders, and fellow engineers to turn requirements into well-documented data solutions
Mentor and coach junior engineers while promoting engineering best practices
· 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.
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.
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.
· 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.
From the employer’s posting.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
At Abbott Laboratories, jobs usually come down by about day 23.
From 11,035 similar postings that came down, and 87 of Abbott Laboratories’s. Coming down is not always a hire.
33 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Check the employer’s posting for the current role and application details.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 – $156,000.00In 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
Selected passages from the saved posting. Check the full description for conditions and exceptions.
The base pay for this position is $78,000.00 – $156,000.00In specific locations, the pay range may vary from the range posted. JOB FAMILY:
United States > Madison : 1 Exact Lane
Working pattern and location restrictions need checking in the full posting.
· 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
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting