Data Implementation Engineer
The Data Implementation Engineer will design, build, and maintain scalable data pipelines using various technologies. They will also implement data architectures and optimize workflows for large financial datasets.
- Hybrid
- Toronto, ON
- Posted Jul 14, 2026
- Apply by Jan 10, 2027
- 1 position
Job summary
Job Title: Data Implementation Engineer Location: Toronto, ON (3x onsite a week) Employment Type: Contract Pay Rate: CAD$50/HR INC Job Description 4+ years of Data Engineering experience Advanced SQL; experience with relational and NoSQL databases Strong experience with Snowflake, Hadoop, Spark, PySpark, Databricks, Azure Proficiency in Python for data engineering Familiarity with orchestration tools and workflow management systems Responsibilities Design, build, and maintain scalable data pipelines using Snowflake, Hadoop, Spark, PySpark, Azure Implement data architectures and optimize workflows for large financial datasets Write high-quality, maintainable Python and SQL code following best practices Integrate data governance, metadata management, and lineage tracking into solutions Disclaimer: AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.
What you’ll do
The Data Implementation Engineer will design, build, and maintain scalable data pipelines using various technologies. They will also implement data architectures and optimize workflows for large financial datasets.
Requirements
Candidates should have over 4 years of Data Engineering experience and proficiency in SQL and Python. Familiarity with orchestration tools and experience with Snowflake, Hadoop, and Azure is also required.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Engineering
- SQL
- Relational Databases
- NoSQL Databases
- Snowflake
- Hadoop
- Spark
- PySpark
- Databricks
- Azure
- Python
- Data Governance
- Metadata Management
- Lineage Tracking
- Workflow Management
- Orchestration Tools
Job areas
- Technology
- Data & Analytics
- Software
- Engineering
- Consulting
Additional details
- Minimum experience
- 5+ years
- Apply by
- Jan 10, 2027
- 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