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Lead Data Engineer

Pay
$137,758.5–188,424/year — pay source
4+ years of experience with Databricks and Python/PySpark Salary: $137,758.50 to $188,424.00 per year Bonus Eligibility: Yes
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Work setting
Not stated
Employment
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Before you apply

Work authorization
Must already have the right to workThis position is not eligible for Visa Sponsorship

What you’ll work on

Full posting

Data Engineering is at the center of all we do.

The Lead Data Engineer will act as the technical lead for a data product team focused on a specific data domain.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree from an accredited college or university
  • 7+ years of professional experience with 5+ of those years in practical, hands-on data engineering
  • 4+ years of experience in Azure ecosystem
  • 4+ years of experience with Databricks and Python/PySpark
Qualification wording
Bachelor’s degree from an accredited college or university
7+ years of professional experience with 5+ of those years in practical, hands-on data engineering
4+ years of experience in Azure ecosystem
4+ years of experience with Databricks and Python/PySpark
Education & alternatives
Requirements - Bachelor’s degree from an accredited college or university - 7+ years of professional experience with 5+ of those years in practical, hands-on data engineering
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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 10, 2026today
Recorded sightings
1

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

In line with similar jobs

$138K–$188K against $127K–$190K, the middle half of what similar US postings state.

From 2,232 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 5 and day 54.

From 12,166 similar postings that came down. Coming down is not always a hire.

nestleHRprdRMK is hiring

44 open jobs

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

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Azure
  • Databricks
  • PySpark
Where the posting names them
- 4+ years of experience in Azure ecosystem - 4+ years of experience with Databricks and Python/PySpark Salary: $137,758.50 to $188,424.00 per year
- 7+ years of professional experience with 5+ of those years in practical, hands-on data engineering - 4+ years of experience in Azure ecosystem - 4+ years of experience with Databricks and Python/PySpark

Your next step

Complete your application on jobdetails.nestle.com. The employer’s form will show what is required.

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Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 834, the most 1,326, and the latest week had 1,326.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 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 ↗

Driven by integrity and united by the people-and-pet bond, we find strong purpose in the work we do and an even greater joy in those we get to work alongside. Together, we harness the expertise of our long-standing tradition of excellence to embrace possibility and continuously push to do what's never been done before in pet care. Discover your purpose and fuel your passions when you bring your love of pets to a team that prides itself on the power of togetherness—We are Proudly Connected. Purely Driven.

Position Summary

 

Data Engineering is at the center of all we do. With data-driven innovators passionate about making a difference in the lives of pets, we create cutting-edge digital business models that solve complex problems. You’ll be at the forefront of digital advancements as they happen in real time, as well as ensure we remain a leader and innovator in the pet care category. Have a hand in making a lasting impact within our long-standing history. 

 

The Lead Data Engineer will act as the technical lead for a data product team focused on a specific data domain. In this role, they will be responsible for ensuring the data products built by the team are supported by resilient, monitored, production-grade pipelines and incorporated into Purina’s enterprise data model to deliver value to the business. Through collaboration with other data engineers across Purina’s data team, they will drive adoption of engineering best practices to further the maturity of Purina’s data engineering capability. 

 

  • Serve as the technical lead for a data product team focused on a specific data domain 

  • Develop, test, deploy, and maintain data pipelines to move, transform, and harmonize source data into data products ready for consumption by end users, applications, and other data product teams 

  • Ensure adherence to Purina’s data engineering and architectural standards 

  • Monitor performance of data pipelines developed and owned within the assigned data domain 

  • Champion the adoption of best practices within the data engineering guild 

  • Coach and mentor other data engineers 

  • Collaborate with other engineers and architects to mature the data enterprise data platform 

  • Collaborate with product owners and business stakeholders to develop long-term data product roadmaps 

  • Collaborate with stakeholders and data product team to define data product requirements 

 

Requirements 

  • Bachelor’s degree from an accredited college or university 

  • 7+ years of professional experience with 5+ of those years in practical, hands-on data engineering 

  • 4+ years of experience in Azure ecosystem 

  • 4+ years of experience with Databricks and Python/PySpark 

 

Salary: $137,758.50 to $188,424.00 per year

 

Bonus Eligibility: Yes

 

The pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. It is not typical for an individual to be hired at top of range.

 

Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits.  Incentives and/or benefit packages may vary depending on the position. Learn more at https://www.nestlejobs.com/nestle-in-the-us-benefits 

It is our business imperative to remain a very inclusive workplace.
 
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.
 

The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

 

This position is not eligible for Visa Sponsorship. 

 

Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.

 

Job Requisition: 424013 

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Pay
4+ years of experience with Databricks and Python/PySpark Salary: $137,758.50 to $188,424.00 per year Bonus Eligibility: Yes
Location & working pattern

St. Louis, MO, US, 63102

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

Work authorization
The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467. This position is not eligible for Visa Sponsorship. Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.

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