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Added 10 hours ago
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QA Engineer, Data
Bridgenext
Canada
- Contract
Workplace: This is a hybrid contract position, working 2 days per week in office in Vancouver, Calgary, or Toronto · Candidates must live within commuting distance of one of these offices
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Bridgenext

QA Engineer, Data

Canada

Contract

Apply on cancareers-bridgenext.icims.com About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 6, 2027
Work location: Workplace: This is a hybrid contract position, working 2 days per week in office in Vancouver, Calgary, or Toronto
Posting language: English
Posted: Nov 6, 2026

Original job description

Company Overview

At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.

Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.

Position Description

We are looking for a talented and experienced QA Engineer to join our team in Canada, Vancouver, Calgary or Toronto.

The client needs a QA Engineer to own quality across its data pipelines, platforms and applications. The data stack includes Snowflake, SQL, dbt, AWS or Azure, and Airflow or Dagster. Some standard tests already exist, including dbt tests and Python data quality checks. Most of the work is building new tests for specific use cases and business requirements. You will design testing strategies that catch issues before production, and you will work with client’s data engineers, platform engineers, the project manager and other development squads to build a quality-first delivery culture.

Responsibilities:

Design test strategies for data pipelines, validating accuracy, completeness, schema consistency and transformation logic across ETL and ELT workflows in Snowflake
Build new automated data quality checks in dbt tests and Python, based on specific use cases and business requirements, and run them inside pipeline CI/CD
Extend the existing dbt and Python data quality tests that are already in place
Build and maintain automated test suites (unit, integration, regression and end-toend) for applications
Validate orchestration workflows in Airflow or Dagster for correctness, idempotency and failure handling
Add automated testing to CI/CD pipelines for fast, reliable feedback
Run exploratory and manual testing for edge cases that automation does not cover yet
Work with data engineers to define and enforce data contracts and schema validation between upstream and downstream systems
Build and monitor quality dashboards (test coverage, defect trends, pipeline reliability)
Join root cause analysis for production incidents and close the gaps in test coverage
Work with engineering, product and analytics teams to set acceptance criteria and quality gates
Keep clear test plans, test cases, defect reports and regression suites

Workplace: This is a hybrid contract position, working 2 days per week in office in Vancouver, Calgary, or Toronto. Candidates must live within commuting distance of one of these offices. Working hours: Standard business hours in the candidate's local time zone. Pacific, Mountain and Eastern are all acceptable.

Must Have Skills:

4 to 6 years in QA or test engineering, with hands-on data pipeline or ETL testing
Strong SQL for data validation and query-based testing
Snowflake, or a comparable cloud data warehouse with a clear ability to ramp up on Snowflake quickly
Python for test automation and data validation scripts
dbt tests, or strong SQL and Python with a clear ability to ramp up on dbt in the first two weeks
Test automation framework experience: Pytest, Selenium, Cypress, Playwright or similar
CI/CD integration of automated tests: Jenkins, GitLab CI, CircleCI or similar
Working awareness of data privacy, security and PII handling
Clear spoken and written English for daily work with data engineers, the project manager and development squads

Preferred Skills:

Airflow or Dagster experience, since both are in the client’s stack
AWS or Azure experience
Datadog dashboards (preferred), Grafana is also acceptable
Great Expectations or Soda Core (these are not in use at client today)
Data contract and schema validation experience
Experience in a financial institution or other regulated environment

Professional Skills:

Strong English communication skills
Strong analytical and troubleshooting skills with close attention to detail
Strong team and individual player
Maintains composure during all types of situations and is collaborative by nature
High standards of professionalism, consistently producing high quality results
Self-sufficient, independent requiring very little supervision or intervention
Demonstrate flexibility and openness to bring creative solutions to address issues

Bridgenext is an Equal Opportunity Employer

Canadian citizens and those authorized to work in Canada are encouraged to apply

Apply on cancareers-bridgenext.icims.com About employer

More about this job

Responsibilities

The QA Engineer at Bridgenext will design test strategies for data pipelines and build automated data quality checks for specific business needs. They will also extend existing tests, validate workflows, and work with engineers and the project manager to set quality standards.

Requirements

Candidates need 4 to 6 years of QA or test engineering experience, including data pipeline or ETL testing. They must have strong SQL and Python skills, experience with Snowflake or a similar warehouse, and test automation and CI/CD experience.

Skills

SQL
Snowflake
dbt
Python
Pytest
Selenium
Cypress
Playwright
Jenkins
GitLab CI
CircleCI
Airflow
Dagster
AWS
Azure
Datadog
Grafana
Great Expectations
Soda Core
Data contract and schema validation
ETL and ELT testing
Test automation
Root cause analysis
Test strategy design
Regression testing

Keywords

QA Engineer
Data Quality
ETL testing
ELT testing
Snowflake
SQL
dbt
Python
Airflow
Dagster
AWS
Azure
Pytest
Selenium
Cypress
Playwright
Jenkins
GitLab CI
CircleCI
Datadog

Seniority

Mid level

Tools

Snowflake
SQL
dbt
Python
Airflow
Dagster
AWS
Azure
Pytest
Selenium

Languages

English

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Work requirements

Jobs in Canada