Position Details
About this role
Senior Data Engineer to build out reporting and analytics for a SaaS Learning Management Platform, focusing on data infrastructure, ETL/ELT, and dashboards.
Key Responsibilities
- Define data architecture and ETL processes
- Build and optimize data models and pipelines
- Collaborate with Product, Software, and Infra
- Deliver high-impact dashboards
- Ensure data quality and SLA compliance
Technical Overview
Strong AWS data services (S3, Redshift, RDS Postgres); ETL/ELT, data modeling and warehousing; SQL and at least one scripting language (Python/Go); Looker/Tableau for BI visualization.
Ideal Candidate
The ideal candidate is a senior data engineer with 3-5+ years in data engineering/BI/data warehousing, strong AWS experience (S3, Redshift, RDS Postgres), and expertise in ETL/ELT, data modeling, and data pipelines. They should be comfortable building scalable data infrastructure and dashboards (Looker/Tableau) for a SaaS EdTech platform.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Authorization to work in the U.S. or Canada, Experience with AWS data stack (S3, Redshift, RDS Postgres)
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