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Agentic Data Engineer, IC2

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Remote — work setting source
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.
AWS certifications or data engineering certifications. This role is remote with quarterly in-person strategy meetings. Benefits:
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Employment
Full-time — employment source
Job Type Full-time Description 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.
Read the full posting

What you’ll work on

Full posting
  • Design and optimize scalable ETL/ELT pipelines and REST APIs

  • Integrate new vendor data sources via REST APIs, SFTP, and message queues

  • Extend relational data models and run schema migrations

  • Build automated tests for APIs, ETL processes, and data validation

  • Support and optimize AWS data platforms for monitoring and cost

From the employer’s posting
Design, develop, and optimize scalable data pipelines, REST APIs, and cloud-native data services
integrating new vendor data sources through REST APIs, SFTP, event-driven integrations, message queues, and other supported data exchange methods
Extend relational data models, implement schema migrations, and optimize database performance
Develop and maintain automated testing for APIs, ETL processes, and data validation
Support and optimize AWS-based data platforms through automation, monitoring, observability, performance tuning, and cost optimization

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related field, or equivalent combination of education and experience.
  • Experience designing and supporting multi-tenant SaaS platforms.
  • 3–5 years of experience in data engineering, backend software engineering, or cloud-based data platform development.
  • Experience with Snowflake or other cloud data warehouse technologies.
  • Strong experience with SQLAlchemy ORM, Alembic migrations, relational database design, and PostgreSQL.
  • Experience with data orchestration platforms and workflow automation tools.
Qualification wording
Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related field, or equivalent combination of education and experience.
Experience designing and supporting multi-tenant SaaS platforms.
3–5 years of experience in data engineering, backend software engineering, or cloud-based data platform development.
Experience with Snowflake or other cloud data warehouse technologies.
Strong experience with SQLAlchemy ORM, Alembic migrations, relational database design, and PostgreSQL.
Experience with data orchestration platforms and workflow automation tools.
Education & alternatives
Required 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.

Benefits in the posting

Full benefits wording
  • Generous Paid Time Off: 4+ weeks of vacation and 13+ paid holidays
  • Parental Leave: 12 weeks fully paid for all parents
  • Retirement: 401(k) with 0.5:1 company match
  • Comprehensive Health Coverage: Medical, dental, and vision plans
  • Insurance: Company-paid life, short-term disability, and long-term disability, plus voluntary options including supplemental life, accident, and pet insurance
  • Lifelong Learning: Tuition reimbursement for continued education

From the employer’s posting.

Apply at Classlink

Posting record

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Status in our records
Live
First seen by us
Sep 27, 202639 days ago
Recorded sightings
25
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 39

Similar jobs usually come down between day 6 and day 54.

From 11,035 similar postings that came down. Coming down is not always a hire.

Classlink is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • AWS
  • Kubernetes
  • PostgreSQL
  • Snowflake
  • FastAPI
  • SQLAlchemy
Where the posting names them
- 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.
- 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
- 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.
- Experience using AI-assisted development tools to improve software engineering productivity. - AWS certifications or data engineering certifications. This role is remote with quarterly in-person strategy meetings.
- 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.
- 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 multi-tenant SaaS platforms. - Experience with Snowflake or other cloud data warehouse technologies. - Experience with data orchestration platforms and workflow automation tools.
- 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.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Type

Full-time

Description

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.

Requirements

Required 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.

Preferred:

  • 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.

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


Benefits:

  • Generous Paid Time Off: 4+ weeks of vacation and 13+ paid holidays
  • Parental Leave: 12 weeks fully paid for all parents
  • Retirement: 401(k) with 0.5:1 company match
  • Comprehensive Health Coverage: Medical, dental, and vision plans
  • Insurance: Company-paid life, short-term disability, and long-term disability, plus voluntary options including supplemental life, accident, and pet insurance


Perks:

  • Volunteer Time Off: Give back through ClassLink Cares paid volunteer days
  • Lifelong Learning: Tuition reimbursement for continued education
  • Growth & Development: Coaching and internal programs to support career and personal growth
  • Supportive Culture: A workplace that values curiosity, compassion, and continuous learning
  • Connection & Community: Annual company retreats and team events with bright, fun coworkers

At ClassLink, we believe the best ideas come from bringing together diverse perspectives. We are committed to building a team that reflects the diversity of the communities we serve and fostering a workplace where every team member feels valued, respected, and empowered to grow.


ClassLink is proud to be an equal opportunity employer. We welcome candidates of all identities, backgrounds, and experiences, and we do not discriminate on the basis of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other legally protected characteristic.


ClassLink is powered by passionate people dedicated to improving learning in classrooms everywhere. We do this by creating and delivering great products and having fun along the way. Learn more about us at www.classlink.com.

Salary Description

105,000.00-115,000.00
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Location & working pattern

United States

- 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.
More source context
- AWS certifications or data engineering certifications. This role is remote with quarterly in-person strategy meetings. Benefits:
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