Senior Data Engineer — Remote Cloud ETL Pipelines (3-Month)

DEPT®; United States; À distance; USD 52 000 - 74 000; Plein temps

Résumé du poste

DEPT® is seeking a Senior Data Engineer to own and optimize complex data workflows powering digital marketing insights. You will design scalable data solutions bridging raw data to actionable analytics, partnering with data scientists and analysts across global brands.

Responsibilities include building production-grade pipelines with Airflow or dbt, optimizing models for cost and speed, and modeling using Star Schema/Data Vault while ensuring data security and privacy.

Qualifications

• Proven experience in designing and building ETL/ELT pipelines in a professional environment.
• Deep proficiency in SQL and Python for data processing.
• Experience with at least one major cloud platform (AWS, GCP, or Azure).
• Knowledge of data modeling techniques (e.g., Star Schema, Data Vault).
• Ability to act fast and adapt to the evolving needs of global brands.

Responsabilités

• Develop and deploy production-grade data pipelines using modern orchestration tools like Airflow or dbt.
• Optimize data models for performance and cost-efficiency within cloud environments.
• Perform code reviews and mentor Core Engineers to ensure high standards of getting sh*t done.
• Collaborate with Data Scientists and Analysts to ensure data readiness for advanced modeling.
• Implement data security and privacy best practices in line with global standards.

Connaissances

SQL

Python

ETL/ELT pipelines

Cloud platforms

Data modeling

Outils

Airflow

dbt

Description du poste

DEPT® is seeking a Senior Data Engineer to own and optimize complex data workflows powering digital marketing insights. You will design scalable data solutions bridging raw data to actionable analytics, partnering with data scientists and analysts across global brands.

Responsibilities include building production-grade pipelines with Airflow or dbt, optimizing models for cost and speed, and modeling using Star Schema/Data Vault while ensuring data security and privacy.