Data Engineer

3 days ago

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Seesaw Learning

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Seesaw Learning is an innovative educational technology company that offers a comprehensive platform designed to enhance learning experiences for elementary students. With a focus on multimodal learning tools, Seesaw enables students to become creators of their own learning journeys while supporting teachers and engaging families. The platform provides interactive lessons, digital portfolios, and two-way communication features to foster continuous visibility and support students' educational development. Seesaw's tools cater to diverse learning needs, making learning accessible for students with various abilities and language backgrounds, ultimately building future-ready skills.

EdTech • Education • Software • Mobile • Technology

201 - 500 employees

📚 Education

☁️ SaaS

🤝 B2B

📋 Description

• Trusted and loved by 25 million educators, students, and families worldwide, Seesaw is the only elementary learning experience platform, offering a suite of award-winning tools, resources, and curriculum for teachers to deliver joyful, inclusive instruction. • Seesaw’s mission is to provide every elementary student with joyful and connected learning experiences that lay the foundation for success in life. • You’ll be joining our Data Foundations team, a small team within our Growth and Scale Engineering org that functions as the engine behind Seesaw’s data infrastructure. • As we scale globally, the team is entering an exciting new chapter — expanding our data infrastructure to serve a growing international user base. • If you’re excited by the challenge of scaling data systems to meet the needs of millions of educators, students, and families around the world, you’ll be in good company.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field • 4+ years of experience in data engineering or a related field • Strong proficiency in SQL and Python • Deep experience with Snowflake, including managing large-scale deployments and performance tuning • Experience building and maintaining robust ETL pipelines (e.g., with AWS Glue, Airflow, etc.) • Experience with AWS and cloud-based data architectures • Experience supporting distributed data infrastructure or regional data warehouse instances • Strong analytical and problem-solving skills • Excellent communication and collaboration skills

🏖️ Benefits

• Medical/Dental + Orthodontics/Vision Coverage • 401k Match • Flexible Paid Time Off • Mindfulness First Fridays • Monthly Technology Stipend • Home Office Setup Stipend • Professional Development Stipend • Paid Parental Leave • Charitable Donation Matching • Volunteer Days