Data Engineer

No relocation assistance offered. 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. You will bring engineering rigor to data—treating pipelines, models, and infrastructure as production‑grade software—while staying closely connected to the digital business context your work enables. 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. 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 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. 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. 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. Paid sick leave is adjusted based on role and location in accordance with local laws. 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 Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #J-18808-Ljbffr