Sr. Data Engineer

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,…