Agentic Data Engineer, IC2

TrulyHired; United States; Remote; USD 105,000 - 115,000; Full time

Job summary

ClassLink is seeking an Agentic Data Engineer, IC2 to design, build, and maintain scalable data platforms, pipelines, integrations, APIs, and cloud-native services. You will work across engineering teams to develop secure, reliable data solutions and contribute to automation, data quality, governance, and reusable frameworks.

Responsibilities include building data pipelines and REST APIs, applying AI-assisted practices, owning implementations from design to deployment, and mentoring Associate

Qualifications

• Bachelor's degree in CS/Engineering or equivalent experience.
• Strong Python and PostgreSQL expertise.
• Experience building scalable data pipelines and REST APIs.

Responsibilities

• Design, build, and optimize scalable data pipelines and REST APIs.
• Apply AI-assisted practices to improve quality and productivity.
• Own implementation for assigned data engineering initiatives from design to deployment.
• Design multi-tenant data architectures for secure, scalable processing.
• Develop ETL/ELT pipelines with REST APIs, SFTP, events, and queues.
• Extend relational models, migrations, and optimize DB performance.
• Develop automated testing for APIs, ETL, and data validation.
• Support AWS-based data platforms with automation and cost optimization.
• Collaborate with teams and mentor Associate Data Engineers.

Skills

Python

SQLAlchemy ORM

Alembic migrations

PostgreSQL

FastAPI

Git

CI/CD

REST APIs

AWS

Data pipelines

Education

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or related field

Tools

Snowflake

Kubernetes

Airflow

Job description

Agentic Data Engineer, IC2 Full Description

Position Summary

ClassLink is looking for an Agentic Data Engineer, IC2 to design, build, and maintain scalable data platforms, pipelines, integrations, APIs, and cloud-native services that support 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, and reusable frameworks.

Responsibilities

• Design, develop, and optimize scalable data pipelines, REST APIs, and cloud-native data services supporting ClassLink products and internal platforms
• Apply AI-assisted engineering practices and modern data engineering methodologies to improve solution quality and developer productivity
• 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 integrating new vendor data sources through REST APIs, SFTP, event-driven integrations, and message queues
• Design scalable REST APIs and database solutions supporting application functionality, reporting, and downstream integrations
• Extend relational data models, implement schema migrations, and optimize database performance while maintaining data integrity
• Develop and maintain automated testing for APIs, ETL processes, and data validation to improve release confidence
• Support and optimize AWS-based data platforms through automation, monitoring, observability, and cost optimization
• Collaborate with Product Management, Engineering, Security, Quality, and Analytics teams and mentor Associate Data Engineers

Minimum Qualifications

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related field (or equivalent experience), plus 3-5 years of experience in data engineering, backend software engineering, or cloud-based data platform development.

Preferred Qualifications

• 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 designing or supporting vector databases, RAG pipelines, semantic search, or other AI-ready data architectures
• Familiarity with Infrastructure as Code, containerization, Kubernetes, or serverless architectures
• AWS certifications or data engineering certifications

Other Requirements

Advanced proficiency in Python, including object-oriented programming, type hinting, decorators, and asynchronous programming; strong experience with SQLAlchemy ORM, Alembic migrations, and PostgreSQL; experience with FastAPI or similar frameworks; experience with Git, CI/CD pipelines, and Agile development. This role is remote with quarterly in-person strategy meetings.

Compensation

The salary range for this position is $105,000-$115,000.

• Benefits include 4+ weeks of vacation, 13+ paid holidays, 12 weeks fully paid parental leave, 401(k) with company match, comprehensive health coverage, and company-paid life and disability insurance.