Senior Data Engineer - Digital Marketing

About the role

We are seeking a Senior Data Engineer to design and maintain scalable ETL pipelines for a fast‑growing marketing analytics platform. The role focuses on building production‑grade solutions using PySpark and Databricks, optimizing performance and cloud costs while collaborating with cross‑functional teams.

Key responsibilities

• Design, build, and maintain large‑scale ETL pipelines for data processing.
• Develop complex data transformations and workflows primarily with PySpark on Databricks.
• Fine‑tune pipelines for performance, scalability, and cost efficiency.
• Partner with engineering and business stakeholders to translate requirements into robust data solutions.
• Debug, resolve, and prevent pipeline bottlenecks and ensure data quality and governance.

Required profile

• 5–7 years of hands‑on data engineering experience delivering production‑grade solutions.
• Strong problem‑solving abilities and clear communication of technical concepts to both technical and non‑technical audiences.

Required skills

• Proficiency in PySpark.
• Extensive experience with Databricks, including AutoLoader.
• Python programming.
• Performance tuning and cloud cost optimization.

What we offer

• 100% remote work – work from any location with a laptop and reliable internet.
• Highly competitive USD compensation.
• Paid time off and flexible work schedule focused on results.
• Opportunities to work with top American companies on high‑impact projects.
• Access to a diverse, global network of over 600 professionals across 25+ countries.