Hiring: Data Engineer Company: Colgate-Palmolive Location: Piscataway, NJ Job Posted Time: 2026-09-15 12:03:26 Target Skills & Keywords : Airflow, CI/CD, Data Pipeline, GCP, Python, SQL, Snowflake, Terraform, dbt About the job Experience: •2–3 years of hands-on experience in a data engineering or analytics engineering role, ideally within a digital or e-commerce environment. Required Skills: •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 Qualifications: •Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline. •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: •$96,800 - $137,000 / year •Competitive benefits and rewards package •Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!