Top Edtech Data Engineering Jobs

Implement StrataJazz for large health systems by building and validating data integrations (ETL), using SQL and Excel, advising customers on best practices for healthcare finance and clinical data, leading training, communicating project risks, and contributing to operational improvements in an Agile environment.

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 Database Developer will design, optimize complex T-SQL solutions for large databases, ensuring performance and compliance in cloud-native architectures while leading documentation and best practices.

The Analytics Architect will design and implement cloud-based analytics solutions, maintain data pipelines, ensure data quality, and collaborate with teams to enhance operational efficiency.

Design, develop, and maintain dimensional data models, data warehouses, and data marts. Translate business requirements into scalable data structures, build fact and dimension tables, perform SQL development, ETL/source-to-target mapping, data profiling, testing, and validation. Collaborate with stakeholders, mentor peers, and ensure data quality and alignment with enterprise architecture.

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.

Lead strategy, architecture, and team oversight for the institution's clinical research data warehouse. Align data assets with research and institutional goals, govern common data models (OMOP/PCORnet), enable FHIR/APIs and AI/ML-ready datasets, oversee ETL from Epic (Clarity/Caboodle/Cosmos), support faculty research and grant deliverables, manage staff, and operate within a federal recharge center framework.

Design and build end-to-end data pipelines, integrations, and APIs; maintain the data warehouse and ensure data accuracy, reliability, and security. Partner with cross-functional teams to translate needs into scalable solutions, mentor engineers, provide operational support, document integrations, and contribute to governance and enterprise architecture.

The Data Engineering Lead will guide a team to build a scalable AI-ready data platform, focusing on data governance, pipeline reliability, and mentoring engineers to enhance data accessibility and usability.

Support the OCS Technology Team with data processing, ETL, BI reporting, and system integrations. Develop Python/REST scripts, maintain Power BI/Excel/Google Sheets reports, manage SQL tables and data integrity, produce recruiting and engagement reports, and assist with student project supervision.