Design and maintain data infrastructure, deploy data pipelines, ensure data quality, and collaborate with teams to meet data needs within the organization.
Kiddom is redefining how technology powers learning. We combine world-class curriculum with cutting-edge AI and modern SaaS infrastructure to help schools deliver truly personalized education at scale. Our platform equips educators with real-time insights and flexible tools, enabling them to focus on what matters most—driving student growth and equity.
We’re not just building technology; we’re driving innovation in an industry ready for transformation. At Kiddom, team members sit at the center of this effort, collaborating across engineering, design, research, and education to create experiences that push boundaries and unlock new possibilities for learners and educators alike.
If you thrive in ambiguity, love working in high-ownership cultures, and are energized by the intersection of human impact and next-gen technology, this is the place to shape something transformative.
Kiddom’s Content & AI Systems team is building the data layer that powers the next generation of AI-assisted curriculum authoring and content delivery. This role sits at the intersection of data engineering and content systems — owning the pipelines, schemas, and validation frameworks that turn raw curriculum content into structured, AI-ready data products.
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.
You will...
- 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
What we'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
- Bachelor’s or Master’s degree in CS or equivalent work experience
Bonus:
- 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.
What we offer:
Full time permanent employees are eligible for the following benefits from their first day of employment:
* 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
Equal Employment Opportunity Policy
Kiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.
Kiddom San Francisco, California, USA Office
We are in Union Square, close to BART, MUNI, other public transportation, coffee shops, restaurants, bars, and shops. It's a bustling neighborhood in the heart of San Francisco with easy access to restaurants for offsite socializing at lunch or after work.
Similar Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.
Top Skills:
AWSDatastageDb2ETLJavaManaged ServicesOracle BiPythonQlikviewRedshiftSlasSQL ServerWorkload Orchestration And Scheduling
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead data engineering engagements to design, build, and maintain ETL/ELT pipelines and cloud data architectures. Manage client accounts and mentor teams, leverage tools like DataStage, AWS/Redshift, DB2/SQL Server, GoldenGate, and BI/visualization platforms to deliver analytics, performance tuning, and scalable reporting solutions.
Top Skills:
AWSBirtCdcDatastageDb2Etl/EltGlueGoldengateJavaPythonQlikviewRedshiftS3SpotfireSQL Server
Cloud • Information Technology • Machine Learning
Design and build foundational dimensional data models, enterprise metrics, and curated data products on a modern lakehouse. Partner with business domains to translate processes into scalable, high-quality datasets, optimize analytical workloads, and operate distributed processing systems to support analytics, BI, and AI.
Top Skills:
AutomqClickhouseDeltaFlinkIcebergKafkaKubernetesPulsarPythonRustScalaSparkSQLStarrocksTrino
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
