Data Engineer: Build Scalable Pipelines (Snowflake/dbt)

Colgate; Piscataway Township, Northern (NJ, KY); Hybrid; USD 73,000 - 121,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k) with company match

Paid time off

Hybrid work

Job summary

Colgate in Piscataway, NJ is seeking a Data Engineer to design, build, and maintain production data pipelines using Snowflake, dbt, Python, and SQL. You will partner with cross-functional teams to deliver scalable data solutions that drive data-driven decisions.

The role requires 2+ years of data engineering experience, a Bachelor's degree in CS/IT/Engineering, and hands-on cloud infrastructure knowledge (AWS/GCP), Git, Docker/Kubernetes, Terraform, and Airflow.

Qualifications

• Bachelor's degree in CS/IT/Engineering.
• 2+ years of professional data engineering experience.
• Experience with Python, SQL and cloud infrastructure (AWS/GCP).
• Hands-on experience building scalable data pipelines.

Responsibilities

• Design, build, and maintain production data pipelines from ingestion to consumption using Snowflake, dbt, Python, and SQL.
• Assemble large-scale datasets aligned with enterprise standards while optimizing infrastructure for performance and cost.
• Drive pipeline improvements by automating workflows, tuning queries, and evaluating new data technologies.
• Partner with business and IT teams to translate requirements into scalable data delivery solutions.
• Enforce code quality and enterprise standards through peer reviews and documentation.

Skills

Python

SQL

Cloud infra

Git

Docker/Kubernetes

Terraform

Airflow

Snowflake/dbt

Education

Bachelor's degree in CS/IT/Engineering

Tools

Git

Docker

Kubernetes

Terraform

Airflow

Snowflake

dbt

Job description

Colgate in Piscataway, NJ is seeking a Data Engineer to design, build, and maintain production data pipelines using Snowflake, dbt, Python, and SQL. You will partner with cross-functional teams to deliver scalable data solutions that drive data-driven decisions.

The role requires 2+ years of data engineering experience, a Bachelor's degree in CS/IT/Engineering, and hands-on cloud infrastructure knowledge (AWS/GCP), Git, Docker/Kubernetes, Terraform, and Airflow.