Design, develop, and maintain ETL workflows to ingest, transform, and deliver data across multiple systems. Ensure pipelines are scalable, reliable, and efficient.
Design schemas, dbt models, and database structures optimized for dashboards and analysis.
Maintain a thorough, meticulously documented, and tested codebase that can be scaled across large datasets.
Collaborate with team members and stakeholders to understand data needs and deliver solutions.
Requirements
2–4 years of experience in data engineering, or a comparable background with strong coding skills and an interest in transitioning into data engineering
Experience working with large datasets collected from disparate data sources and optimizing ETL processes
Experience writing and maintaining documentation on data systems
Fluency in python and SQL (BigQuery)
Strong communication skills and ability to work well in a team environment
Strong problem solving skills and ability to think creatively
Tech Stack
BigQuery
ETL
Python
SQL
Benefits
Health insurance covered at 90% for full time employees; Dental and Vision available