Databricks Data Engineer

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

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.

Listed skills

• SQL · Preferred
• GitHub · Preferred
• CI/CD · Preferred
• Automated testing · Preferred
• Asset Management · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• 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

Job areas

• Data & Analytics
• Technology
• Software
• Engineering
• Finance & Accounting