ZoomInfo · Posted 4w ago
Data Engineer
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇨🇦 Toronto, Canada
- Contract
- Full-time
- Role
- Data engineering
- Source
- Stapply Data
The posting
Join our Strategic Partnerships team as a Data Engineer III. In this role, you will design and ship ETL pipelines, semantic models, and the supporting infrastructure that powers cross-functional initiatives with various business units. You will work with an established data stack, including Snowflake, BigQuery, Fivetran, Airflow, dbt, Databricks, Terraform, GitHub, and Tableau. You will have a high degree of autonomy, owning projects end-to-end and contributing to team engineering standards.
- Concevoir et expédier des pipelines ETL, des modèles sémantiques et l'infrastructure de support qui alimentent les initiatives interfonctionnelles. - Travailler de manière autonome sur des projets de bout en bout, de la définition des besoins à la construction et au déploiement des pipelines. - Collaborer directement avec les parties prenantes pour définir les exigences en matière de données et les traduire en spécifications de pipeline.
- Solid dbt experience — has built and maintained models in a production dbt project - Has built something end-to-end before specializing — values broad competence paired with depth - Experience with orchestration tools — Airflow and Fivetran required; Dagster or equivalent a plus - Hands-on experience with a cloud data warehouse (Snowflake strongly preferred; BigQuery or equivalent acceptable) - Experience with AWS (Airflow, S3, Lambda) and GCP (BigQuery and adjacent services) - 4+ years of professional experience as a Data Engineer, with demonstrated ownership of production pipelines - Strong communication skills — can explain technical tradeoffs to non-technical partners and adapt style to different audiences - Ability to work autonomously — can take an ambiguous ask, scope it with a stakeholder, and ship a solution with minimal oversight - Experience with Databricks and Spark for custom modeling and transformation workloads - Security-first mindset; familiar with PII handling and access controls - Strong SQL and Python; comfortable writing production-grade code, debugging complex pipelines, and optimizing queries