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.
United States
Live, first seen by us 39 days agoShare 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:Read the full 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.Read the 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
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
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.
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.
From the employer’s posting.
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$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.
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.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
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- 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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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
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.
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.
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.
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:
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
Accountability & Results
Operational Excellence & Continuous Improvement
Collaboration & Communication
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.
Required Skills:
Preferred:
This role is remote with quarterly in-person strategy meetings.
Benefits:
Perks:
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.
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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.
- AWS certifications or data engineering certifications. This role is remote with quarterly in-person strategy meetings. Benefits:
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