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.
Piscataway, NJ, US
Open 5 months, first seen by us 159 days agoFluency in driving an AI coding tool across pipeline codebase: scoping changes, providing the right files as context. Compensation and Benefits Salary Range $96,800.00 - $137,000.00 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.Read the full posting
We are seeking a passionate and detail-oriented Data Engineer to join our Digital Tech & Data team.
You will bring engineering rigour to data — treating pipelines, models, and infrastructure as production-grade software — while staying closely connected to the digital business context your work enables.
Build and maintain production-grade Airflow pipelines ingesting digital data into Snowflake
Develop tested, documented dbt models that turn raw data into business-ready datasets
Provision and manage cloud data infrastructure through Terraform
Tune Snowflake performance and manage warehouse cost
Implement data quality, observability, and testing standards across pipelines
We are seeking a passionate and detail-oriented Data Engineer to join our Digital Tech & Data team. In this role, you will be responsible for building and maintaining the data pipelines that support our digital ecosystem — from ingesting raw data across multiple digital touchpoints to delivering clean, robust data that business teams can trust and act on.
You will bring engineering rigour to data — treating pipelines, models, and infrastructure as production-grade software — while staying closely connected to the digital business context your work enables.
Design, build, and maintain production-grade data pipelines in Airflow that ingest data from digital touchpoints into Snowflake.
Develop modular, tested, and well-documented dbt models that transform raw data into reliable, business-ready datasets
Provision and manage cloud data infrastructure (Snowflake objects, Airflow environments, supporting GCP resources) through Terraform
Tune Snowflake performance and manage warehouse cost — clustering, query profiling, resource monitors
Implement and uphold data quality, observability, and testing standards across pipelines
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
2–3 years of hands-on experience in a data engineering or analytics engineering role, ideally within a digital or e-commerce environment.
Proven experience building and maintaining production-grade data pipelines using Apache Airflow.
Demonstrated experience developing dbt projects — writing modular, tested, and well-documented transformation logic.
Practical experience using Terraform to provision and manage cloud data infrastructure in a repeatable, version-controlled manner.
Proficiency in Python for writing data pipelines, custom operators, and utility tooling.
Education: - Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline. Experience:
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
Open 5 monthsWe first saw this posting 159 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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 159
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
38 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Practical experience using Terraform to provision and manage cloud data infrastructure in a repeatable, version-controlled manner. - Proficiency in Python for writing data pipelines, custom operators, and utility tooling. - Strong SQL skills with the ability to write and optimise complex queries across large datasets.
- Proficiency in Python for writing data pipelines, custom operators, and utility tooling. - Strong SQL skills with the ability to write and optimise complex queries across large datasets. - Fluency in driving an AI coding tool across pipeline codebase: scoping changes, providing the right files as context.
- Design, build, and maintain production-grade data pipelines in Airflow that ingest data from digital touchpoints into Snowflake. - Develop modular, tested, and well-documented dbt models that transform raw data into reliable, business-ready datasets — owning the full lifecycle from source definition to exposure. - Provision and manage cloud data infrastructure (Snowflake objects, Airflow environments, supporting GCP resources) through Terraform, with everything version-controlled and peer-reviewed.
- Tune Snowflake performance and manage warehouse cost — clustering, query profiling, resource monitors and treat cost as a first-class engineering concern. - Implement pipelines to platform standards — branching strategy, CI/CD for dbt and Airflow, code review norms, documentation, naming conventions Required Qualifications:
- Strong working knowledge of Snowflake, including data modelling, performance tuning, clustering, and warehouse cost management. - Demonstrated experience developing dbt projects — writing modular, tested, and well-documented transformation logic. - Practical experience using Terraform to provision and manage cloud data infrastructure in a repeatable, version-controlled manner.
- Develop modular, tested, and well-documented dbt models that transform raw data into reliable, business-ready datasets — owning the full lifecycle from source definition to exposure. - Provision and manage cloud data infrastructure (Snowflake objects, Airflow environments, supporting GCP resources) through Terraform, with everything version-controlled and peer-reviewed. - Implement and uphold data quality, observability, and testing standards across pipelines
Responsibilities: - Design, build, and maintain production-grade data pipelines in Airflow that ingest data from digital touchpoints into Snowflake. - Develop modular, tested, and well-documented dbt models that transform raw data into reliable, business-ready datasets — owning the full lifecycle from source definition to exposure.
- Implement and uphold data quality, observability, and testing standards across pipelines - Tune Snowflake performance and manage warehouse cost — clustering, query profiling, resource monitors and treat cost as a first-class engineering concern. - Implement pipelines to platform standards — branching strategy, CI/CD for dbt and Airflow, code review norms, documentation, naming conventions
- Proven experience building and maintaining production-grade data pipelines using Apache Airflow. - Strong working knowledge of Snowflake, including data modelling, performance tuning, clustering, and warehouse cost management. - Demonstrated experience developing dbt projects — writing modular, tested, and well-documented transformation logic.
- Demonstrated experience developing dbt projects — writing modular, tested, and well-documented transformation logic. - Practical experience using Terraform to provision and manage cloud data infrastructure in a repeatable, version-controlled manner. - Proficiency in Python for writing data pipelines, custom operators, and utility tooling.
Preferred Qualifications: - Proven experience building and maintaining production-grade data pipelines using Apache Airflow. - Strong working knowledge of Snowflake, including data modelling, performance tuning, clustering, and warehouse cost management.
Complete your application on jobs.colgate.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other Data Engineer jobs there since June 2026. All 2 are still up.
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.
No Relocation Assistance Offered
Job Number #173490 - 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.
We are seeking a passionate and detail-oriented Data Engineer to join our Digital Tech & Data team. In this role, you will be responsible for building and maintaining the data pipelines that support our digital ecosystem — from ingesting raw data across multiple digital touchpoints to delivering clean, robust data that business teams can trust and act on.
You will bring engineering rigour to data — treating pipelines, models, and infrastructure as production-grade software — while staying closely connected to the digital business context your work enables.
Design, build, and maintain production-grade data pipelines in Airflow that ingest data from digital touchpoints into Snowflake.
Develop modular, tested, and well-documented dbt models that transform raw data into reliable, business-ready datasets — owning the full lifecycle from source definition to exposure.
Provision and manage cloud data infrastructure (Snowflake objects, Airflow environments, supporting GCP resources) through Terraform, with everything version-controlled and peer-reviewed.
Implement and uphold data quality, observability, and testing standards across pipelines
Tune Snowflake performance and manage warehouse cost — clustering, query profiling, resource monitors and treat cost as a first-class engineering concern.
Implement pipelines to platform standards — branching strategy, CI/CD for dbt and Airflow, code review norms, documentation, naming conventions
Education:
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
Experience:
2–3 years of hands-on experience in a data engineering or analytics engineering role, ideally within a digital or e-commerce environment.
Proven experience building and maintaining production-grade data pipelines using Apache Airflow.
Strong working knowledge of Snowflake, including data modelling, performance tuning, clustering, and warehouse cost management.
Demonstrated experience developing dbt projects — writing modular, tested, and well-documented transformation logic.
Practical experience using Terraform to provision and manage cloud data infrastructure in a repeatable, version-controlled manner.
Proficiency in Python for writing data pipelines, custom operators, and utility tooling.
Strong SQL skills with the ability to write and optimise complex queries across large datasets.
Fluency in driving an AI coding tool across pipeline codebase: scoping changes, providing the right files as context.
Compensation and Benefits
Salary Range $96,800.00 - $137,000.00 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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Fluency in driving an AI coding tool across pipeline codebase: scoping changes, providing the right files as context. Compensation and Benefits Salary Range $96,800.00 - $137,000.00 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.
Piscataway, NJ, US
For additional Colgate terms and conditions, please click here. #LI-Hybrid
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