Design, develop, deploy, and maintain production-grade data pipelines using Python, Spark, and Databricks.
Build and improve analytical data models that support financial decisions, product development, operations, marketing, and business growth.
Develop robust ETL workflows and ensure the reliability, performance, and scalability of data infrastructure.

Requirements:

5+ years of experience in data engineering, ETL development, and data modeling.
5+ years of professional experience using Python for data processing and engineering workflows.
2+ years of hands-on experience working with Databricks and distributed data processing environments.

Benefits:

Competitive salary range of $151,000 – $189,000 USD.
Fully remote-first work environment with flexibility to work from home, from an office, or anywhere within the United States.
Equity opportunities, unlimited vacation policy, and universal paid parental leave.