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Senior Data Engineer

Pay
USD 115,200–174,000/yearAnnual period assumed. Location-specific pay — pay source
Exposure to automated testing tools like Great Expectations, Monte Carlo, or dbt tests. Compensation and Benefits Salary Range $115,200.00 - $174,000.00 USD Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
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Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
Must already have the right to workWork visa sponsorship is not available for this position.

What you’ll work on

Full posting
  • Resolve technical blockers across Python, SQL, Snowflake and dbt pipelines

  • Review GitHub pull requests to enforce testing, quality and platform standards

  • Deliver high-impact datasets for OTIF, forecast accuracy and inventory metrics

  • Align engineering with cloud data warehousing and Airflow/GKE orchestration standards

  • Manage sprint backlogs, timelines, internal engineers and third-party consultants

From the employer’s posting
Serve as the hands-on lead resolving technical blockers across Python, SQL, Snowflake, and dbt pipelines.
performing GitHub PR reviews to enforce testing, quality, and platform standards.
Deliver high-impact datasets for core metrics (OTIF, Forecast Accuracy, Inventory) sourced from SAP, Kinaxis, and WMS/TMS tools.
Ensure all engineering aligns with modern cloud data warehousing and orchestration standards (Airflow / GKE).
Manage sprint backlogs, project timelines, internal engineers, and third-party consultants across concurrent initiatives.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in Computer Science, Industrial Engineering, Supply Chain, or a related quantitative field.
  • 5+ years in Data Engineering
  • Hands-on experience with Python, SQL, dbt, Airflow.
Qualification wording
Bachelor’s degree in Computer Science, Industrial Engineering, Supply Chain, or a related quantitative field.
5+ years in Data Engineering
Hands-on experience with Python, SQL, dbt, Airflow.
Education & alternatives
Required Qualifications - Bachelor’s degree in Computer Science, Industrial Engineering, Supply Chain, or a related quantitative field. - 5+ years in Data Engineering

About Colgate-Palmolive

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition.

In the employer’s words · Read in context

Apply at Colgate-Palmolive

Posting record

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Status in our records
Live
First seen by us
Sep 8, 202656 days ago
Recorded sightings
433
Last seen by us
Nov 4, 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 56

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Colgate-Palmolive is hiring

38 open jobs

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

  • Hiring has slowed
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
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
  • SQL
  • dbt
  • Snowflake
  • Airflow
Where the posting names them
The Impact You’ll Make - Serve as the hands-on lead resolving technical blockers across Python, SQL, Snowflake, and dbt pipelines. - Act as primary backup to the Data Architect, performing GitHub PR reviews to enforce testing, quality, and platform standards.
- 5+ years in Data Engineering - Hands-on experience with Python, SQL, dbt, Airflow. - Data Warehouse experience (Snowflake preferred).
- Background in Consumer Packaged Goods or high-volume retail/logistics environments. - Exposure to automated testing tools like Great Expectations, Monte Carlo, or dbt tests. Compensation and Benefits Salary Range $115,200.00 - $174,000.00 USD
- Hands-on experience with Python, SQL, dbt, Airflow. - Data Warehouse experience (Snowflake preferred). Preferred Qualifications
- Act as primary backup to the Data Architect, performing GitHub PR reviews to enforce testing, quality, and platform standards. - Ensure all engineering aligns with modern cloud data warehousing and orchestration standards (Airflow / GKE). - Deliver high-impact datasets for core metrics (OTIF, Forecast Accuracy, Inventory) sourced from SAP, Kinaxis, and WMS/TMS tools.

Your next step

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

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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 ↗

No Relocation Assistance Offered
Job Number #173322 - Piscataway, New Jersey, United States

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

 

Why Colgate-Palmolive?

At Colgate-Palmolive, we are brightening the future of global consumer goods through digital transformation, modern engineering, and technical empowerment. We aren't just manufacturing household brands that put a smile on millions of faces—we are reinventing how real-time data flows through our global supply chain.

As our Sr. Data Engineer, you are a hands-on technical driver who bridges business strategy and data engineering, working side-by-side with our Data Architect to build and ship high-performance data products on time. Instead of managing from the sidelines, you will dive deep into code to unblock engineers, optimize data pipelines, and keep our supply chain logistics running seamlessly so products reach store shelves clean and fresh.

This position is based out of the Piscataway, NJ location. Work visa sponsorship is not available for this position.

The Impact You’ll Make

  • Serve as the hands-on lead resolving technical blockers across Python, SQL, Snowflake, and dbt pipelines.

  • Act as primary backup to the Data Architect, performing GitHub PR reviews to enforce testing, quality, and platform standards.

  • Ensure all engineering aligns with modern cloud data warehousing and orchestration standards (Airflow / GKE).

  • Deliver high-impact datasets for core metrics (OTIF, Forecast Accuracy, Inventory) sourced from SAP, Kinaxis, and WMS/TMS tools.

  • Manage sprint backlogs, project timelines, internal engineers, and third-party consultants across concurrent initiatives.

What You'll Bring to The Team

Required Qualifications

  • Bachelor’s degree in Computer Science, Industrial Engineering, Supply Chain, or a related quantitative field.

  • 5+ years in Data Engineering

  • Hands-on experience with Python, SQL, dbt, Airflow.

  • Data Warehouse experience (Snowflake preferred).

Preferred Qualifications

  • Background in Consumer Packaged Goods or high-volume retail/logistics environments.
  • Exposure to automated testing tools like Great Expectations, Monte Carlo, or dbt tests.


Compensation and Benefits
Salary Range $115,200.00 - $174,000.00 USD

Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.

Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

For additional Colgate terms and conditions, please click here.

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Pay
Exposure to automated testing tools like Great Expectations, Monte Carlo, or dbt tests. Compensation and Benefits Salary Range $115,200.00 - $174,000.00 USD Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Location & working pattern

Piscataway, NJ, US

For additional Colgate terms and conditions, please click here. #LI-Hybrid
Work authorization
As our Sr. Data Engineer, you are a hands-on technical driver who bridges business strategy and data engineering, working side-by-side with our Data Architect to build and ship high-performance data products on time. Instead of managing from the sidelines, you will dive deep into code to unblock engineers, optimize data pipelines, and keep our supply chain logistics running seamlessly so products reach store shelves clean and fresh. This position is based out of the Piscataway, NJ location. Work visa sponsorship is not available for this position. The Impact You’ll Make

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