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Senior Data Engineer

United States > Madison : 1 Exact Lane

Actively hiring, first seen by us today
Pay
Pay amount needs review — pay source
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:
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
No visa sponsorship

What you’ll work on

Full 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

From the employer’s posting
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
Education & alternatives
· 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.

Tools in this posting

  • Python
  • SQL
  • AWS
  • Databricks
  • Delta Lake
  • NoSQL
  • S3
  • Snowflake
  • Spark
  • Tableau
Source — Tool mentions in context
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.

Benefits in the posting

Full benefits wording
  • · 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.
  • The Opportunity

From the employer’s posting.

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
2
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

Abbott Laboratories is hiring

33 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 6% of open jobs were reposted
Hiring record

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About Abbott Laboratories

People
About 115,000 in 2025, up 1% from the year before.Annual report (SEC Form 10-K)
Company
Listed as ABT.
H-1B visas
30 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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.

     

JOB DESCRIPTION:

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.

     

JOB FAMILY:

Product Development

     

DIVISION:

ONCO Cancer Diagnostics

        

LOCATION:

United States > Madison : 1 Exact Lane

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

Yes, 10 % of the Time

     

MEDICAL SURVEILLANCE:

No

     

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

     

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
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
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:
Location & working pattern

United States > Madison : 1 Exact Lane

Working pattern and location restrictions need checking in the full posting.

Work authorization
· 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
AI answers unavailable

We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting