Sr Data Engineer

Accountabilities:

• Design, build, and maintain robust data pipelines for ingesting, cleaning, and transforming structured and semi-structured data.
• Own and scale ETL/ELT processes using tools like dbt, BigQuery, and Python.
• Build modular data models that power analytics, product features, and LLM agents.

Requirements:

• 5+ years of experience as a data engineer, working on ETL/ELT and large-scale data systems.
• Strong experience with SQL, BigQuery, dbt, and Python.
• Deep understanding of data modeling, warehousing, and transformation best practices.

Why Apply:

• Work with a small, high-performance team.
• Access to cutting-edge tools and technologies.
• Opportunity to shape foundational systems for AI-native business tools.