Databricks Data Engineer- AWS, Python, Glue, ETL

Long Term Contract

Toronto, ON - Hybrid

Key Responsibilities

- Design, develop, and optimize scalable data pipelines using Databricks (PySpark, Delta Lake, Unity Catalog, Lakeflow) and AWS (S3, Glue, Lambda, Step Functions, Redshift)
- Lead data ingestion, transformation, and modeling initiatives for enterprise data platforms.
- Define and implement robust data models supporting analytics, reporting, and AI/ML use cases.
- Gather and translate complex business requirements into scalable technical solutions.
- Establish data quality, monitoring, testing, and operational best practices across data platforms.
- Mentor engineers, drive architecture standards, and lead end-to-end solution delivery.
- Support strategic initiatives including AI readiness, data unification, metadata management, and enterprise integration programs.

Required Skills & Experience

- 12+ years of experience in Data Engineering, Data Architecture, or large-scale distributed data systems.




- Expert knowledge of AWS Data Services and Databricks/Spark ecosystem.
- Solid expertise in data modeling (Dimensional, Canonical, Data Vault, Domain-Driven).
- Advanced SQL and Python development skills with ETL/ELT experience.
- Experience with CI/CD, GitHub, DevOps practices, automated testing, and production deployments.
- Proven ability to work independently and lead solutions in ambiguous business environments.

Preferred Qualifications

- Experience in Asset Management, Wealth Management, or Financial Services.
- Knowledge of data quality frameworks, metadata management, dbt, semantic layers, or data mesh concepts.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).

Pay: $55.00-$60.00 per hour

Work Location: Hybrid remote in Toronto, ON (Toronto District)

📌 Databricks Data Engineer- AWS, Python, Glue, ETL (Toronto)
🏢 apptoza
📍 Toronto