Databricks Data Engineer

Toronto, ON
Hybrid
Posted Sep 18, 2026
1 position

$57–$59 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Lead · 12+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week
Office presence: 3 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

The role involves designing and implementing large-scale distributed data systems and leading technical solutions in ambiguous business environments. Responsibilities include developing ETL/ELT pipelines and managing production deployments using DevOps practices.

Job details

Job Title: Databricks Data Engineer Location: Toronto, ON Work Arrangement: Hybrid (3 days a week) Employment Type: Contract Duration: 06-12 Months Pay Rate: CAD 57-59/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. 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). 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.

What you’ll do

Requirements

Candidates must have over 12 years of experience in data engineering with expert knowledge of AWS and the Databricks/Spark ecosystem. Proficiency in advanced SQL, Python, and various data modeling methodologies is required.