Data Engineer

CES-LINKS is building a K-12 education platform. The Data Engineer owns the platform’s data foundation, including data models, pipelines, and integrations with school and district systems. The role supports data quality, privacy, security, and school and district implementations.

Responsibilities:

• Design, build, and maintain the platform's data models and schemas, including data contracts between services and clear documentation of data structures
• Build and operate data pipelines and integrations for SIS and rostering sources (Clever, OneRoster, and additional SIS sources), district data imports, and curriculum and standards content
• Own data quality: validation, monitoring, and alerting so issues are caught before they reach users or a district go-live
• Partner with engineering on how the application reads and writes data, with clear, timely communication when data structures or formats change
• Support school and district implementations with data mapping, imports, and validation, in partnership with the Technical Project Manager and Customer Success
• Apply privacy and security practices for student data, including access controls, data minimization, and FERPA/COPPA compliance requirements
• Prepare and maintain realistic sample and test data sets for development and QA
• Use AI tools throughout (design, coding, documentation, and analysis), validating all outputs

Requirements:

• 5+ years in data engineering or a closely related backend/data role
• Strong SQL and data modeling skills, with experience designing relational schemas for a production application
• Proficiency in Python (or a similar language) for building and maintaining data pipelines
• Experience building pipelines and data infrastructure on a major cloud platform, with version control and CI/CD
• Experience integrating third-party data sources and APIs, with attention to data validation and error handling
• Fluency with AI assistants as daily working tools, with the judgment to verify outputs
• Excellent written communication, including clear technical documentation
• Startup experience preferred: building data infrastructure from an early stage, wearing multiple hats, and working directly with founders
• K-12 / edtech experience strongly preferred: SIS and rostering integrations (Clever, OneRoster), education data standards, or student-data privacy (FERPA/COPPA)