Data Engineer

Role Overview

The Data Engineer is a strong individual contributor responsible for designing, building, and owning the data pipelines and transformation layer that power our Enterprise Data platform.

What You Will Do

Design, build, and maintain scalable ETL/ELT pipelines using Python and Apache Airflow. Own the dbt Core transformation layer, including models, tests, documentation, and deployment.

Why It Might Be a Fit

Collaborate with data architects, analysts, and cross-functional teams to deliver reliable data pipelines. Conduct design and code reviews. Mentor junior data engineers.

Requirements

• 4+ years of experience in data engineering.
• Strong experience with Python
• Apache Airflow
• ETL/ELT pipeline architecture
• dbt Core
• Strong understanding of data management principles and the end-to-end data life cycle.
• Experience with SQL and relational or cloud data warehouse platforms.
• Experience with Git-based workflows and CI/CD for data pipelines.
• Understanding of Agile development methodologies.
• Experience writing automated tests for data pipelines and dbt models.