Closed listing
Senior Data Engineer
- Toronto, ON, Canada
$60 to $62 CAD / hour · Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $60 to $62 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 - 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.
More about this job
Responsibilities
The role involves designing and implementing large-scale distributed data systems using Databricks and AWS. The engineer will lead technical solutions in ambiguous business environments within the BFSI domain.
Requirements
Requires over 12 years of experience in data engineering and architecture with expert knowledge of the Spark ecosystem. Proficiency in advanced SQL, Python, and various data modeling methodologies is essential.
Skills
- AWS Data Services
- Databricks
- Spark
- Data Modeling
- SQL
- Python
- ETL/ELT
- CI/CD
- GitHub
- DevOps
- Automated Testing
- Production Deployments
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Engineering
- Software
- Finance & Accounting
Keywords
- Databricks
- AWS
- Python
- Glue
- ETL
- ELT
- Spark
- Dimensional Modeling
- Canonical Modeling
- Data Vault
- Domain-Driven Design
- SQL
- CI/CD
- GitHub
- DevOps
- BFSI
- Data Architecture
- Distributed Systems