Agentic Data Engineer, IC2

Summary

ClassLink builds secure education technology tools that support access, analytics, and data-driven decision-making for students and educators. The Agentic Data Engineer designs, builds, and maintains scalable data platforms, pipelines, APIs, integrations, and cloud-native services supporting products, analytics, and AI-powered applications. This remote role also contributes to automation, testing, data quality, governance, operational excellence, and cross-functional engineering collaboration.

Responsibilities

• 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
• 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
• 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
• 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

Skills

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related field, or equivalent combination of education and experience
• 3–5 years of experience in data engineering, backend software engineering, or cloud-based data platform development
• Advanced proficiency in Python, including object-oriented programming, type hinting, decorators, context managers, and asynchronous programming concepts
• Strong experience with SQLAlchemy ORM, Alembic migrations, relational database design, and PostgreSQL
• Experience designing, developing, testing, and supporting REST APIs using FastAPI or similar frameworks
• Experience designing and supporting ETL/ELT pipelines and integrating data from APIs, SFTP, vendor systems, and other external sources
• Experience designing and supporting AWS cloud services and cloud-native data solutions, including storage, compute, networking, monitoring, and serverless capabilities
• Experience with Git, CI/CD pipelines, automated testing, observability, and Agile software development
• Strong analytical, troubleshooting, and problem-solving skills with the ability to independently resolve complex technical issues
• Excellent communication and collaboration skills with experience working on cross-functional Agile teams
• Experience using AI-assisted software development tools and modern engineering practices to improve developer productivity and software quality
• Experience designing and supporting multi-tenant SaaS platforms
• Experience with Snowflake or other cloud data warehouse technologies
• Experience with data orchestration platforms and workflow automation tools
• Experience building scalable event-driven or distributed data processing systems
• Experience designing or supporting vector databases, Retrieval-Augmented Generation (RAG) pipelines, semantic search, feature stores, or other AI-ready data architectures
• Familiarity with Infrastructure as Code, containerization, Kubernetes, or serverless architectures
• Experience mentoring junior engineers or leading technical initiatives
• Knowledge of data governance, data quality frameworks, observability, and monitoring practices
• Experience using AI-assisted development tools to improve software engineering productivity
• AWS certifications or data engineering certifications

Qualifications

Must Haves

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related field, or equivalent combination of education and experience
• 3–5 years of experience in data engineering, backend software engineering, or cloud-based data platform development
• Advanced proficiency in Python, including object-oriented programming, type hinting, decorators, context managers, and asynchronous programming concepts
• Strong experience with SQLAlchemy ORM, Alembic migrations, relational database design, and PostgreSQL
• Experience designing, developing, testing, and supporting REST APIs using FastAPI or similar frameworks
• Experience designing and supporting ETL/ELT pipelines and integrating data from APIs, SFTP, vendor systems, and other external sources
• Experience designing and supporting AWS cloud services and cloud-native data solutions, including storage, compute, networking, monitoring, and serverless capabilities
• Experience with Git, CI/CD pipelines, automated testing, observability, and Agile software development
• Strong analytical, troubleshooting, and problem-solving skills with the ability to independently resolve complex technical issues
• Excellent communication and collaboration skills with experience working on cross-functional Agile teams
• Experience using AI-assisted software development tools and modern engineering practices to improve developer productivity and software quality

Nice to Haves

• Experience designing and supporting multi-tenant SaaS platforms
• Experience with Snowflake or other cloud data warehouse technologies
• Experience with data orchestration platforms and workflow automation tools
• Experience building scalable event-driven or distributed data processing systems
• Experience designing or supporting vector databases, Retrieval-Augmented Generation (RAG) pipelines, semantic search, feature stores, or other AI-ready data architectures
• Familiarity with Infrastructure as Code, containerization, Kubernetes, or serverless architectures
• Experience mentoring junior engineers or leading technical initiatives
• Knowledge of data governance, data quality frameworks, observability, and monitoring practices
• Experience using AI-assisted development tools to improve software engineering productivity
• AWS certifications or data engineering certifications

Benefits

• 4+ weeks of vacation and 13+ paid holidays
• 12 weeks fully paid parental leave for all parents
• 401(k) with 0.5:1 company match
• Medical, dental, and vision plans
• Company-paid life, short-term disability, and long-term disability insurance
• Voluntary supplemental life, accident, and pet insurance options
• Paid volunteer days through ClassLink Cares
• Tuition reimbursement for continued education
• Coaching and internal programs to support career and personal growth
• Annual company retreats and team events
• Remote work with quarterly in-person strategy meetings