Data Engineer

Seesaw, a leading elementary learning experience platform serving 25 million users worldwide, is seeking a Data Engineer to join their Data Foundations team. This role is crucial in scaling their data infrastructure to serve a growing global customer base. The position focuses on maintaining and enhancing their Snowflake-based data warehouse, ensuring reliable ETL pipelines, and supporting international data needs.

The role sits within the Growth and Scale Engineering organization, where the Data Foundations team serves as the backbone of Seesaw's data infrastructure. As the company expands globally, this position offers an exciting opportunity to evolve their data architecture to meet regional requirements while maintaining privacy and compliance standards.

The ideal candidate will have 4+ years of data engineering experience, with strong expertise in SQL, Python, Snowflake, and AWS. They'll work closely with product, engineering, and analytics teams to design and implement scalable solutions that power data-driven decision-making across the company.

Seesaw offers a competitive compensation package including a base salary range of $140,000-$160,000 plus RSUs, comprehensive benefits, and a strong focus on work-life balance. The company culture emphasizes ownership, user connection, and meaningful impact, with their platform playing a vital role in elementary education worldwide.

This remote position provides an opportunity to contribute to educational technology while working with modern data infrastructure. The role combines technical expertise with business impact, requiring both strong engineering skills and the ability to collaborate effectively across teams to support Seesaw's mission of providing joyful and connected learning experiences for elementary students.