Data Engineer

No Relocation Assistance Offered Job Number #174077 - 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.   Role Summary :  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. 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. 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 Required Qualifications : Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related quantitative discipline. 2+ 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. Preferred 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. 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. Comfortable working with Git in a team environment, including branching strategies, pull requests, and code reviews. Experience working with Google Cloud Platform (GCP) services such as Cloud Storage, GKE Compensation and Benefits Salary Range $96,800.00 -…