Senior Data QA Developer

About the Role

The Data team at Nesto Cloud is the backbone of the organization, responsible for managing the flow of data that powers Canada's most advanced mortgage platform. As a Senior Data QA Developer, you will be part of a high-performing team that values innovation, speed, and trust. Your expertise in data quality and testing will be instrumental in driving the company's mission to reshape the mortgage industry.

Nesto Cloud's hypergrowth environment offers a unique opportunity for professionals to grow and develop their skills rapidly. With a strong focus on innovation and customer satisfaction, the company has established itself as a leader in the mortgage industry. As a Senior Data QA Developer, you will be working closely with cross-functional teams, including Data Developers, Product Managers, and Engineers, to ensure seamless data flow and high-quality insights.

What You Will Do

• Design and build automated testing suites for data pipelines using Python and SQL to validate data integrity and schema consistency
• Collaborate with Data Developers to define data contracts, quality gates, and acceptance criteria during the design phase
• Develop and implement data quality frameworks to ensure the accuracy and reliability of data pipelines
• Partner with Product Managers to design and implement data validation and testing processes
• Develop automated 'Data-SLA' monitors and observability signals to catch anomalies in BigQuery and Airflow
• Perform deep-dive validation on complex ELT/ETL processes to ensure high-performance datasets optimized for Power BI and internal analytics
• Implement and maintain data-specific testing within Git-based CI/CD workflows using Pulumi/Terraform
• Take ownership of broader data quality outcomes, improving documentation, data governance, and team workflows
• Collaborate with the Data Development team to identify and resolve data quality issues
• Develop and maintain technical documentation for data pipelines and testing frameworks

What We Are Looking For

• 5+ years of experience in Data QA, with a focus on testing complex SaaS/cloud data environments
• Strong Python and SQL skills, with the ability to write clean, maintainable automation code
• Hands-on experience with GCP (BigQuery) and orchestration tools like Airflow
• Familiarity with Infra-as-Code tools like Pulumi or Terraform
• Analytical rigor, with a deep understanding of data modeling, dimensional design, and the ability to diagnose performance bottlenecks in SQL execution plans
• Experience working in a hypergrowth startup environment, with a self-driven mindset and the ability to thrive in fast-paced settings
• B.S. or M.S. in Computer Science, Software Engineering, or a related technical field
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

Nice to Have

• Experience with data visualization tools like Power BI or Tableau
• Familiarity with machine learning frameworks and tools
• Knowledge of cloud-based data platforms and architectures
• Experience with agile development methodologies and version control systems
• Certification in data science or a related field

Benefits and Perks

• Competitive salary and benefits package
• Generous time-off policy, including 4 weeks of vacation per year
• Premium health and wellness benefits, including annual wellness budget and 24/7 telemedicine access
• Remote-first work environment, with the flexibility to work from anywhere
• Opportunities for professional growth and development, with access to training and education resources
• Collaborative and dynamic work environment, with a team of high-performing professionals
• Access to the latest technologies and tools, with the freedom to innovate and experiment
• Employee mortgage program, with exclusive, preferred low rates for team members

• To stand out as a candidate, highlight your experience with data pipeline development and testing, as well as your ability to work with large datasets and complex data systems.
• Make sure to demonstrate your knowledge of data quality frameworks and testing methodologies, and be prepared to discuss your approach to data validation and verification.
• Familiarize yourself with Nesto Cloud's technology stack, including BigQuery, Airflow, and Python, and be prepared to discuss how you can contribute to the company's mission.
• In your portfolio, include examples of your work with data pipelines and testing frameworks, and highlight your ability to collaborate with cross-functional teams.
• During the interview process, ask thoughtful questions about the company's approach to data quality and testing, and be prepared to discuss your own experiences with data-driven decision making.
• Be prepared to discuss your experience working in a remote environment, and highlight your ability to self-motivate and work independently.
• Research the company's culture and values, and be prepared to discuss how your own values and work style align with those of the organization.