onsite
Data Engineer Edify - EAB
Data Engineer
Data Engineer role focused on building scalable data pipelines, modeling educational data, and leveraging AWS services to deliver actionable insights for higher‑education clients.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest, transform, and load large volumes of educational data from diverse sources.
- Implement data models and schemas that support analytics, reporting, and machine‑learning initiatives across enrollment, student success, and institutional strategy.
- Utilize AWS services (S3, Redshift, Glue, EMR) to build scalable, secure, and cost‑effective data infrastructure.
- Collaborate with data scientists, analysts, and stakeholders to understand requirements and translate them into technical solutions.
- Monitor pipeline performance, troubleshoot issues, and continuously optimize for speed and reliability.
Requirements
- 3+ years of experience as a Data Engineer or similar role in a data‑centric environment.
- Proficiency in Python, SQL, and Spark for data processing and transformation.
- Hands‑on experience with AWS data services (S3, Redshift, Glue, EMR).
- Strong understanding of data modeling, schema design, and ETL best practices.
- Excellent problem‑solving skills and ability to work collaboratively in cross‑functional teams.