Data Engineer
Summary
Data engineer in Zaha's Vancouver Data & Analytics practice, building data pipelines, data lakes, and analytics infrastructure for enterprise clients — from real-time streaming to cloud-native warehouse modernization. Core stack: Python, SQL, Spark, cloud data platforms (Snowflake, Databricks, BigQuery, Redshift), and tools like dbt and Airflow.
You will collaborate with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and secure. Projects range from building real-time streaming pipelines to modernizing legacy data warehouses to cloud-native architectures.## Requirements* 4+ years of experience in data engineering or related roles* Proficiency in Python and SQL, with experience in Spark or similar distributed processing frameworks* Experience with cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)* Knowledge of ETL/ELT tools and frameworks (dbt, Airflow, Fivetran)* Experience with data modeling, data governance, and data quality frameworks* Familiarity with streaming technologies (Kafka, Kinesis, Pub/Sub)* Understanding of Canadian data privacy regulations (PIPEDA)* Experience with infrastructure as code and CI/CD for data pipelines## Interested in This Position?Send your resume and a brief cover letter to **careers@zaha.ca** with the position title in the subject line.