Top Edtech Data Engineering Jobs

Lead and grow a data engineering team that designs, builds, tests, and operates large-scale data pipelines and warehouses. Partner cross-functionally to translate requirements, ensure data quality, observability, SLAs, security, and governance, and drive automation and performance for analytics, ML, and product use cases.

The Senior Data Engineer will design and build ETL/ELT data pipelines, optimize data workflows, implement data models, and mentor junior engineers, ensuring efficient data management and high-quality data products.

The Senior Data Scientist at CDI will manage data infrastructure, pipelines, and reporting systems while leading evaluation work for an AI dialogue coach, supporting analyses, and collaborating across teams.

The Data Platform Engineer will design and build infrastructure for data processing and machine learning workflows, collaborating across teams to enhance system reliability and developer experience.

The Data Platform Engineer will build and operate scalable data infrastructure, design efficient ETL pipelines, and mentor team members while collaborating with product managers and engineers.

The ETL Engineer develops and maintains data stores, manages data pipelines, ensures data quality, and collaborates with teams for reporting and analytics.

The Programmer will assist in developing data management pipelines, maintain databases, create analytic datasets, and support software documentation, focusing on health data research.

The Director of Data & Analytics Engineering will lead and build data platform teams, manage architecture and strategy for data systems, and integrate AI in workflows, ensuring reliable, agile data solutions meet business needs.

The Senior Director of Data Platform leads LINQ's Business Systems and Data Engineering functions, overseeing strategy, team development, and ensuring data governance while delivering scalable solutions aligned with business needs.

The Technical Consultant will manage SFTP-based data integrations between EdSights and partner institutions, ensuring accurate data processing and collaborating across teams to optimize workflows and documentation.