Senior Data Engineer

Join Kiddom's Content & AI Systems team as a Senior Data Engineer. In this role, you will design and own the schema and data models representing Kiddom’s curriculum content, build ingestion pipelines, develop Python-based parsers and validation scripts, and collaborate with instructional designers and product teams. You will work in a remote-friendly culture with meaningful equity, health benefits, and a flexible vacation policy.

• Conception et gestion des pipelines, des schémas et des cadres de validation pour transformer le contenu de curriculum en données structurées.
• Collaboration avec les concepteurs pédagogiques et les équipes produit pour traduire les flux de travail d'autorisation de contenu en exigences d'ingénierie des données.
• Construction et maintenance des pipelines de base de données d'embedding et de vecteur qui alimentent les fonctionnalités de contenu alimentées par l'IA de Kiddom.
• Cross-functional collaborator — comfortable working with non-engineers to define requirements and translate domain knowledge into data structures
• The data system operates, ECS, EKS clusters, provision lambdas and S3 buckets
• 4+ years of data engineering experience with strong Python skills — you’ve written parsers, validators, and transformation scripts for real-world messy data
• Provisioning and monitoring of infrastructure for data systems, familiarity with IaC tools such as Terraform and Terragrunt
• 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
• Background in education, curriculum design, or ed-tech — understanding how instructional content is authored and structured is a genuine differentiator
• Experience with vector databases (Pinecone, Weaviate, pgvector) or embedding pipeline tooling
• Familiarity with agentic AI patterns or Model Context Protocol (MCP)