Data Engineer

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.

Responsibilities

• 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.

Requirements

• 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