Senior Data Engineer
Summary
Contract Databricks Data Engineer (6-12 months, hybrid in Toronto) building large-scale data platforms for a BFSI client. Day-to-day work centers on AWS data services, Databricks/Spark ETL pipelines, data modeling, and Python/SQL with CI/CD deployment practices.
Job Title: Databricks Data Engineer - Databricks, AWS, Python, Glue, ETL
Location: Toronto, ON
Work Arrangement: Hybrid (3 days a week in office)
Employment Type: Contract
Duration: 06-12 Months
Pay Rate: CAD 60-62/hour Incorporated
Domain: BFSI
Application Deadline: Sept. 30th, 2026
SKILLS REQUIRED:
• 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.
• Strong 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.
EEOC Compliance:
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
DISCLAIMER
AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.