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# Data Engineer

- **Company:** Kiddom Inc
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Encodings, Databases, Information Engineering, Data Structures, Data Systems, JSON, Python (Programming Language), Parsing, Extensible Markup Language (XML), S3 Bucket, Data Ingestion, Git Flow, Infrastructure Automation Frameworks, Terraform
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-data-engineer-kiddom-8344288

## 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
 * 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
 * Bachelor's or Master's degree in CS or equivalent work experience, * 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)

Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.

## Description

This is not a traditional data engineering role. Curriculum content is messy, inconsistent, and deeply domain-specific. You will work closely with Instructional Designers, AI engineers, and the Content Agents team to define data requirements, design schemas, and build the infrastructure that makes AI-powered authoring workflows possible., * Design and own the schema and data models representing Kiddom's curriculum content (lessons, activities, standards alignments) for downstream use

 * Build ingestion pipelines that process content from varied, inconsistent source formats - XML, JSON, PDF-derived, and API-delivered
 * Develop Python-based parsers, transformers, and validation scripts that enforce schema conformance and content quality at scale
 * Collaborate directly with Instructional Designers and product teams to translate content authoring workflows into data engineering requirements
 * Build and maintain embedding and vector database pipelines that feed Kiddom's AI-powered content features as they scale
 * Work in Git-based workflows - treating data artifacts with the same rigor as software: versioned, reviewed, and documented


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