Backed by Khosla.
About the role
4+ years of data engineering experience with strong Python skills — you’ve written parsers, validators, and transformation scripts for real-world messy data Schema design instincts — you think carefully about how data should be structured for downstream use, not just how to move it
What they're looking for
- 4+ years of data engineering experience with strong Python skills — you’ve written parsers, validators, and transformation scripts for real-world messy data
- Schema design instincts — you think carefully about how data should be structured for downstream use, not just how to move it
- Data quality mindset — you build validation and completeness checks in from the start, not as an afterthought
- Cross-functional collaborator — comfortable working with non-engineers to define requirements and translate domain knowledge into data structures
- Provisioning and monitoring of infrastructure for data systems, familiarity with IaC tools such as Terraform and Terragrunt
- The data system operates, ECS, EKS clusters, provision lambdas and S3 buckets
More about this role
Kiddom is transforming K–12 education by bringing high-quality curriculum, instructional tools, and student analytics together in one coherent system. We are building Learning Intelligence Technology (LIT), a new category that gives educators the infrastructure to plan, teach, assess, and respond to student needs. With Kiddom, educators spend less time managing administrative burden and more time delivering meaningful student instruction. Kiddom helps schools and districts deliver more equitable, effective, and adaptive learning experiences.
We're looking for a Senior Data Engineer to join Kiddom's Content & AI Systems team, building the data layer that powers next-generation AI-assisted curriculum authoring and content delivery. You'll own the pipelines, schemas, and validation frameworks that turn messy, domain-specific curriculum content into structured, AI-ready data products, working closely with Instructional Designers, AI engineers, and the Content Agents team. This role suits an engineer who's comfortable in a non-traditional data engineering space and energized by defining data requirements and infrastructure from the ground up.
Design and own the schema and data models...
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