Agentic Data Engineer, IC2

At ClassLink, we believe learning should be accessible, engaging, and empowering for every student, every educator, everywhere. That’s why we build secure, intuitive tools that empower more than 26 million students and educators worldwide. From simplifying access with single sign-on, to advancing equity with usage analytics, to automating secure rostering, our platform helps schools focus on what matters most: teaching and learning.

We’re not just building tools, we’re building what’s next in education. By removing barriers and enabling data-driven decisions, our solutions help educators lead with confidence and students thrive in and out of the classroom every day.

Our team is driven by purpose and grounded in three core values:

• Strive to Grow - always learning, improving, and innovating.
• Deliver Worthwhile Experiences - for our users, our partners, and each other.
• Contribute with Heart - putting people first in everything we do.

These values shape how we work, innovate, and support the communities we serve. If you’re ready to do work that makes a real difference, and grow alongside a team that values collaboration, support, and continuous improvement. ClassLink is the place for you.

The Agentic Data Engineer, IC2 designs, builds, and maintains scalable data platforms, pipelines, integrations, APIs, and cloud-native services supporting ClassLink’s products, analytics, and AI-powered applications. Working across engineering teams, this role develops secure, reliable data solutions and contributes to automation, data quality, governance, reusable frameworks, and engineering best practices. Success requires strong data engineering and cloud expertise, analytical problem-solving, collaboration, and a continuous improvement mindset.

Key Responsibilities

AI-Enabled Data engineering & Technical Excellence

• Design, develop, and optimize scalable data pipelines, REST APIs, and cloud-native data services that support ClassLink products and internal platforms.
• Apply AI-assisted engineering practices, modern data engineering methodologies, and established coding standards to improve engineering effectiveness, solution quality, and developer productivity.
• Ensure data engineering solutions comply with established standards for security, testing, observability, data quality, and software reliability.

Accountability & Results

• Own technical implementation for assigned data engineering initiatives from design through deployment.
• Design and enhance multi-tenant data architectures that provide secure, scalable, and reliable customer data processing.
• Develop and extend ETL/ELT pipelines by integrating new vendor data sources through REST APIs, SFTP, event-driven integrations, message queues, and other supported data exchange methods.
• Design scalable REST APIs and database solutions that support application functionality, reporting, and downstream integrations.
• Extend relational data models, implement schema migrations, and optimize database performance while maintaining data integrity.

Operational Excellence & Continuous Improvement

• Improve engineering efficiency through automation, workflow optimization, testing improvements, and AI-assisted development practices.
• Develop and maintain automated testing for APIs, ETL processes, and data validation to improve release confidence and data quality.
• Contribute reusable components, technical documentation, engineering standards, and operational runbooks that improve consistency across teams.
• Support and optimize AWS-based data platforms through automation, monitoring, observability, performance tuning, and cost optimization while identifying opportunities to improve scalability, reliability, and operational efficiency.

Collaboration & Communication

• Collaborate with Product Management, Agentic Engineering, Cloud Engineering, Security Engineering, Quality Engineering, Architecture, Infrastructure, Analytics, and fellow Agentic Data Engineers to deliver reliable, scalable, and secure data solutions.
• Participate in technical design discussions, code reviews, architecture reviews, and engineering working groups.
• Share technical knowledge and mentor Associate Data Engineers through collaborative problem-solving, design guidance, and code reviews.

This role is remote with quarterly in-person strategy meetings.

NOTE: This job description is not intended to be all-inclusive. Employees may be asked to perform other related duties as assigned to meet the ongoing needs of the organization.