Senior Data Engineer

🕒 September 23, 2025

🏢🏡 San Francisco – Hybrid

💵 $150k - $200k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Kiddom

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

📚 Education

☁️ SaaS

🤝 B2B

💰 $35M Series C on 2021-08

Education • SaaS • B2B

Kiddom is a company that provides a digital platform focused on enhancing educational experiences by coupling high-quality curricula with flexible, technology-driven solutions. The platform supports various subjects including Math, ELA, and Science with digital curriculum management, assessments, and virtual classroom tools. Kiddom aims to increase student engagement and reduce teacher workload through intuitive features like lesson planning, presentations, and classroom management resources. The company serves schools and districts, offering insights for data-driven instructional decisions and helping educators effectively implement curriculum with technology support.

📋 Description

• Design, implement, and maintain the organization’s data infrastructure, ensuring it meets business requirements and technical standards. • Deploy data pipelines to AWS infrastructure such as EKS, ECS, Lambdas and AWS Glue. • Develop and deploy data pipelines to clean and transform data to support other engineering teams, analytics and AI applications. • Extract and deploy reusable features to Feature stores such as Feast or equivalent. • Evaluate and select appropriate database technologies, tools, and platforms, both on-premises and in the cloud. • Monitor data systems and troubleshoot issues related to data quality, performance, and integrity. • Work closely with Product, Engineering, and Analytics teams to understand and cater to their data needs. • Define and document data workflows, pipelines, and transformation processes for clear understanding and knowledge sharing. • Ensure student data privacy and security, and adhere to PII compliance best practices.

🎯 Requirements

• 3+ years of experience as a data engineer, and 8+ years of software engineering experience (including data engineering) • Proven experience as a Data Engineer or in a similar role with strong data modeling, architecture, and design skills. • Strong understanding of data engineering principles including infrastructure deployment, governance and security. • Experience with MySQL, Snowflake, Cassandra and familiarity with Graph databases (Neptune or Neo4J) • Proficiency in SQL, Python, (Golang) • Proficient with AWS offerings such as AWS Glue, EKS, ECS and Lambda • Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders • Strong understanding of PII compliance and best practices in data handling and storage • Strong problem-solving skills, with a knack for optimizing performance and ensuring data integrity and accuracy.

🏖️ Benefits

• Competitive salary • Meaningful equity • Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance • One Medical membership (in participating locations) • Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year. • 10 paid sick days per year (pro rated depending on start date) • Paid holidays • Paid bereavement leave • Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State. • Commuter and FSA plans