Remote Data Engineer — AI-Driven Data Pipelines (IC2)

ClassLink, Inc.; United States; Remote; USD 105,000 - 115,000; Full time

Benefits offered by this job

Vacation time (4+ weeks)

13+ paid holidays

12 weeks parental leave

401(k) with company match

Comprehensive health coverage

Life and disability insurance

Job summary

ClassLink, Inc. is seeking 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.

Collaborate with cross-functional teams to implement secure, reliable data solutions, improve data quality and governance, and extend automated testing and observability across AWS-based data platforms.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or related field.
• 3–5 years of experience in data engineering or cloud-based data platform development.
• Experience with multi-tenant SaaS platforms and cloud data warehouses is a plus.

Responsibilities

• Design, build, and optimize scalable data pipelines, REST APIs, and cloud-native data services.
• Apply AI-assisted engineering practices to improve solution quality and productivity.
• Own technical implementation for data engineering initiatives from design through deployment.

Skills

Python

Asynchronous programming

Type hints

Object-oriented design

Agile development

Education

Bachelor's degree in Computer Science or related field

Tools

SQLAlchemy ORM

Alembic migrations

PostgreSQL

FastAPI

Git

CI/CD pipelines

Job description

ClassLink, Inc. is seeking 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.

Collaborate with cross-functional teams to implement secure, reliable data solutions, improve data quality and governance, and extend automated testing and observability across AWS-based data platforms.