Closed listing
Databricks Data Engineer
- Toronto, ON, Canada
$57 to $59 CAD / hour · Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $57 to $59 CAD / hour
- Job type
- Contract
- Closing date
- Experience
- 12+ years of experience in Data Engineering, Data Architecture, or large-scale distributed data systems.
- Posting language
- English
- Posted
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Original job description
Archived listing. The details below describe a past opening.
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.
More about this job
Responsibilities
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.
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.
Skills
- Data Engineering
- Data Architecture
- AWS Data Services
- Databricks
- Apache Spark
- Data Modeling
- SQL
- Python
- ETL/ELT
- CI/CD
- GitHub
- DevOps
- Automated Testing
- Production Deployments
- Asset Management
- Wealth Management
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
- Finance & Accounting
Keywords
- Databricks
- Spark
- AWS
- Data Engineering
- Data Architecture
- Dimensional Modeling
- Canonical Modeling
- Data Vault
- Domain-Driven Design
- SQL
- Python
- ETL
- ELT
- CI/CD
- GitHub
- DevOps
- Automated Testing
- BFSI
- Asset Management
- Wealth Management
- Financial Services
- Data Quality Frameworks
- Metadata Management
- dbt
- Semantic Layers
- Data Mesh