Sr. Data Engineer (173322)

Colgate-Palmolive; Piscataway Township (NJ); Hybrid; USD 115,000 - 174,000; Full time

Job summary

Colgate-Palmolive is seeking a Sr. Data Engineer in Piscataway, NJ, hybrid work arrangement. You will lead hands-on data product development, build high-performance data pipelines, and partner with the Data Architect to ensure scalable analytics across our supply chain.

The role requires 5+ years in data engineering, strong Python/SQL/dbt/Airflow skills, and Snowflake data warehouse experience. Travel is up to 10%; visa sponsorship is not offered for this position.

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).

Responsibilities

• Serve as hands-on lead resolving blockers across Python, SQL, Snowflake, and dbt pipelines.
• Back up Data Architect; review GitHub PRs to enforce testing, quality, and standards.
• Ensure alignment with modern cloud data warehousing and orchestration standards (Airflow / GKE).
• Deliver high-impact datasets for core metrics (OTIF, Forecast Accuracy, Inventory) from SAP, Kinaxis, and WMS/TMS tools.
• Manage sprint backlogs, timelines, internal engineers, and third-party consultants across concurrent initiatives.

Skills

5+ years in data engineering

Python

SQL

Education

Bachelor's degree in CS/IE/SC or related field

Tools

dbt

Airflow

Snowflake

Job description

Requisition ID173322-Posted09/08/2026-Information Technology-United States-New Jersey-Piscataway-Colgate-Palmolive-Travel - up to 10% of time-Hybrid

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.

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