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Hays

Test Engineer - Databricks

Toronto, ON, Canada

Pay: $105,000 to $135,000 USD / year
Job type: Full-time
Apply by: Oct 30, 2026
Experience: 2+ years hands-on experience with Databricks (Spark)
Posting language: English
Posted: Sep 30, 2026

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Original job description

Test Engineer (Data)

Job Type: Permanent

Pay Rate/Salary: CAD $105,000 to CAD $135,000

Location: Hybrid: 3 days per week on-site Toronto

Your New Role

As a Test Engineer - Data, you will be responsible for developing and implementing automated testing frameworks for Databricks-based solutions, data pipelines, and data quality validation. You will work closely with data engineering teams to ensure data accuracy and reliability across our Lakehouse architecture.

What You Need to Do

Data Pipeline Testing
Automate testing for ETL/ELT processes in Databricks
Implement Spark job testing and optimization validation
Create test cases for data ingestion and processing workflows
Develop automated checks for data transformations
Test Unity Catalog features and access controls
Databricks Testing
Design and implement automated testing for Databricks notebooks and workflows
Create test frameworks for Delta Lake tables and ACID transactions
Develop automated validation for structured streaming pipelines
Validate Delta Live Tables implementations
Quality Assurance
Design and execute data quality test strategies
Implement automated data reconciliation processes
Develop performance testing for large-scale Spark jobs
Monitoring & Reporting
Implement pipeline monitoring test frameworks
Create automated test dashboards
Generate quality metrics and testing reports
Maintain comprehensive test documentation

What You'll Need to Succeed:

Educational Background
Bachelor’s degree in Computer Science, Data Science, or related field
Relevant certifications in Databricks or data testing are a plus
Technical Experience
2+ years hands-on experience with Databricks (Spark)
Strong programming skills in Python (PySpark) and SQL
Experience with data testing frameworks and tools
Proficiency with AI coding agents such as Claude Code, Cursor, Kiro
Knowledge of AWS services (S3, Glue, Lambda)
Understanding of Delta Lake and Lakehouse architecture
Experience with version control systems (Git)
Additional Skills
Strong analytical and problem-solving abilities
Experience with large-scale data processing
Knowledge of data quality best practices
Understanding of data governance and compliance requirements
Experience with Agile methodologies
Platform Knowledge
Databricks workspace and notebook development
Delta Lake and Delta Live Tables
Unity Catalog for governance testing
Spark optimization and performance testing

What You'll Get in Return:

You will have the opportunity to work with a talented team of professionals in a dynamic and supportive environment. Client is offering competitive compensation, professional development opportunities, and the chance to make a significant impact on our clients' success.

What You Need to Do Now:

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.

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More about this job

Responsibilities

Develop and implement automated testing frameworks for Databricks solutions, data pipelines, Spark jobs, and Lakehouse components. Create data quality, reconciliation, monitoring, performance-testing, and reporting processes to ensure data accuracy and reliability.

Requirements

Requires a bachelor’s degree in Computer Science, Data Science, or a related field, plus at least two years of hands-on Databricks and Spark experience. Candidates should have strong Python/PySpark and SQL skills, experience with data testing frameworks, and knowledge of AWS, Delta Lake, Lakehouse architecture, Git, data quality, governance, and Agile methods.

Skills

Databricks
Apache Spark
Python
PySpark
SQL
Automated Testing
Data Pipeline Testing
Data Quality Validation
ETL/ELT Testing
Delta Lake
Delta Live Tables
Unity Catalog
AWS
Git
Performance Testing
AI Coding Agents

Benefits

Competitive Compensation
Professional Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Apache Spark
Python
PySpark
SQL
ETL
ELT
Data Pipelines
Automated Testing
Data Quality
Data Reconciliation
Lakehouse Architecture
Delta Lake
Delta Live Tables
Unity Catalog
Structured Streaming
AWS
Amazon S3
AWS Glue
AWS Lambda
Git
Spark Optimization
Performance Testing
Data Governance
Agile
Claude Code
Cursor
Kiro
Data Ingestion
ACID Transactions

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