Implement and maintain APIs, including contracts, versioning, and data validation * Contribute to ... software engineering experience delivering production-grade services using Python * Strong ...
Implement and maintain APIs, including contracts, versioning, and data validation * Contribute to ... software engineering experience delivering production-grade services using Python * Strong ...
Data Engineer
Mississauga, ON · On-site
Develop automated validation and reconciliation processes to ensure data accuracy. * Convert SAS ... Advanced SQL and data engineering expertise. Experience building scalable, high-performance data ...
Data Engineer
Mississauga, ON · On-site
Develop automated validation and reconciliation processes to ensure data accuracy. * Convert SAS ... Advanced SQL and data engineering expertise. Experience building scalable, high-performance data ...
Senior Data Analyst
Toronto, ON · Hybrid
CA$105K - CA$115K/yr
You work closely with consultants, data engineers, developers, designers and clients across ... Lead analytical projects end-to-end including discovery, data validation, analysis, and ...
Senior Data Analyst
Toronto, ON · Hybrid
CA$105K - CA$115K/yr
You work closely with consultants, data engineers, developers, designers and clients across ... Lead analytical projects end-to-end including discovery, data validation, analysis, and ...
Lead application support initiatives as a Production Support Engineer focused on banking ... analysis, data validation, and efficient scripting capabilities. Collaborating with cross ...
New
Lead application support initiatives as a Production Support Engineer focused on banking ... analysis, data validation, and efficient scripting capabilities. Collaborating with cross ...
New
Manager, Model Validation
Toronto, ON · On-site
The Manager, Model Validation provides independent, objective assessment and effective challenge of ... engineering, finance, or data science) or equivalent experience. * 2-3 years of relevant experience ...
Manager, Model Validation
Toronto, ON · On-site
The Manager, Model Validation provides independent, objective assessment and effective challenge of ... engineering, finance, or data science) or equivalent experience. * 2-3 years of relevant experience ...
Be Seen First
Execute discovery runs and validate data collection across 15,000+ servers and network devices * Implement cloud vendor infrastructure discovery and integration (up to 1 supported cloud provider)
New
Quick apply
Be Seen First
Execute discovery runs and validate data collection across 15,000+ servers and network devices * Implement cloud vendor infrastructure discovery and integration (up to 1 supported cloud provider)
New
Data Engineer
CA$90K - CA$150K/yr
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of ...
Data Engineer
CA$90K - CA$150K/yr
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of ...
Data Engineer
CA$90K - CA$150K/yr
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of ...
Data Engineer
CA$90K - CA$150K/yr
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of ...
Be Seen First
Execute discovery runs and validate data collection across 15,000+ servers and network devices * Implement cloud vendor infrastructure discovery and integration (up to 1 supported cloud provider)
New
Quick apply
Be Seen First
Execute discovery runs and validate data collection across 15,000+ servers and network devices * Implement cloud vendor infrastructure discovery and integration (up to 1 supported cloud provider)
New
Data Engineer
CA$90K - CA$150K/yr
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of ...
Data Engineer
CA$90K - CA$150K/yr
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of ...
Data Engineer
CA$90K - CA$150K/yr
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of ...
Data Engineer
CA$90K - CA$150K/yr
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of ...
Data Engineer
Toronto, ON · Remote
CA$140K - CA$190K/yr
Overview The Data Engineer on the Nebula team plays a critical role in building and evolving the ... Implement data quality checks, validation rules, reconciliation processes, and monitoring to ensure ...
Data Engineer
Toronto, ON · Remote
CA$140K - CA$190K/yr
Overview The Data Engineer on the Nebula team plays a critical role in building and evolving the ... Implement data quality checks, validation rules, reconciliation processes, and monitoring to ensure ...
Data Engineer, Data Platform
Toronto, ON · On-site
CA$85K - CA$100K/yr
This is a hands-on engineering role for someone who thrives in code, designing and delivering high ... Implement data quality, validation, observability, and lineage controls to meet enterprise ...
Data Engineer, Data Platform
Toronto, ON · On-site
CA$85K - CA$100K/yr
This is a hands-on engineering role for someone who thrives in code, designing and delivering high ... Implement data quality, validation, observability, and lineage controls to meet enterprise ...
Data Engineer
Toronto, ON · On-site
Monitor data pipeline health, investigate data quality issues, assess their impact, and validate ... to data engineering * Contribute to process improvements, documentation, and knowledge sharing ...
Data Engineer
Toronto, ON · On-site
Monitor data pipeline health, investigate data quality issues, assess their impact, and validate ... to data engineering * Contribute to process improvements, documentation, and knowledge sharing ...
Data Engineer
Toronto, ON · On-site
Monitor data pipeline health, investigate data quality issues, assess their impact, and validate ... University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or ...
Data Engineer
Toronto, ON · On-site
Monitor data pipeline health, investigate data quality issues, assess their impact, and validate ... University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or ...
Data Engineer
Toronto, ON · On-site
Monitor data pipeline health, investigate data quality issues, assess their impact, and validate ... University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or ...
Quick apply
Data Engineer
Toronto, ON · On-site
Monitor data pipeline health, investigate data quality issues, assess their impact, and validate ... University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or ...
The role will leverage Informatica suite of products to monitor, validate, and enhance data quality across critical data domains. The Data Engineer works with department and lines of business subject ...
The role will leverage Informatica suite of products to monitor, validate, and enhance data quality across critical data domains. The Data Engineer works with department and lines of business subject ...
Company Description Are you a Data Engineer with experience building cloud-based data solutions and ... Build automated validation, deduplication, masking, encryption and column‑level security to ...
Quick apply
Company Description Are you a Data Engineer with experience building cloud-based data solutions and ... Build automated validation, deduplication, masking, encryption and column‑level security to ...
Senior .NET Fullstack Engineer - Full time - Up to $180k p/y - Toronto/GTA
Toronto, ON · Hybrid
CA$180K/yr
NET Fullstack Engineer Structure: Full time Location: Toronto/ GTA - Hybrid, 2 days a week in ... Proactively explore and adopt AI tools Use LLMs and AI-driven components for data validation ...
Quick apply
Senior .NET Fullstack Engineer - Full time - Up to $180k p/y - Toronto/GTA
Toronto, ON · Hybrid
CA$180K/yr
NET Fullstack Engineer Structure: Full time Location: Toronto/ GTA - Hybrid, 2 days a week in ... Proactively explore and adopt AI tools Use LLMs and AI-driven components for data validation ...
Data Quality Engineer-Cards Engineering, Transactional Services and Data Services Engineering
Scarborough, ON · On-site
Purpose As a Data Quality Engineer within the Cards Engineering team, you will lead and coordinate ... Validate source-to-target mappings, transformation logic, and business rules. * Perform SQL-based ...
Data Quality Engineer-Cards Engineering, Transactional Services and Data Services Engineering
Scarborough, ON · On-site
Purpose As a Data Quality Engineer within the Cards Engineering team, you will lead and coordinate ... Validate source-to-target mappings, transformation logic, and business rules. * Perform SQL-based ...
Data Validation Engineer information
What is a data validation engineer?
What are the key skills and qualifications needed to thrive as a data validation engineer?
What are the typical challenges faced by data validation engineers when working with large and complex datasets?
What is the difference between Data Validation Engineer vs Data Analyst?
| Aspect | Data Validation Engineer | Data Analyst |
|---|---|---|
| Primary Focus | Ensuring data accuracy, integrity, and validation processes | Analyzing data to identify trends and generate reports |
| Skills & Certifications | Data validation tools, SQL, scripting, quality assurance | Data analysis, visualization, statistical skills, Excel, SQL |
| Work Environment | Data warehouses, ETL pipelines, quality assurance teams | Business units, reporting teams, data-driven departments |
| Industry Usage | Tech, finance, healthcare, where data quality is critical | Marketing, finance, consulting, where insights drive decisions |
While both roles work with data, Data Validation Engineers focus on verifying data accuracy and integrity during data processing, whereas Data Analysts interpret data to provide insights and support decision-making. Understanding these differences helps organizations assign the right skills to each role.
What cities in Ontario are hiring for Data Validation Engineer jobs?
Cities in Ontario with the most Data Validation Engineer job openings:

Senior Engineer, Data Enablement, Data Platforms
Toronto, ON • On-site
Full-time
Re-posted 19 days ago
Key responsibilities
Build and support Data Enablement services and platform components to improve data discovery, access, and self-service experiences
Collaborate with users and stakeholders to gather feedback and refine features to ensure solutions are practical and adopted
Build and maintain backend services and APIs that support enterprise data platforms and portals
Job description
Purpose.Performance. People.
Joining CPP Investments means joining one of the world's most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for generations of Canadians.
With a long-term horizon and global reach, we deploy capital at scale across public and private markets. Our size, stability, and disciplined investment philosophy allow us to pursue complex opportunities and build enduring partnerships worldwide.
For our people, this means meaningful work with tangible impact, real opportunity, and collaboration with exceptional colleagues who value partnership and performance. Here,you'llcontribute to outcomes that matter alongside team members committed to excellence and shared success.
Role Summary:
The Data Enablement Team enables the organization to derive value from enterprise data by building reusable platforms, tools, and services that help users and applications discover, understand, and safely consume trusted data products for production, analytics, and research use cases. The team owns the enterprise Data Portal and the FinSights BI Portal (one-stop shop for enterprise BI assets), builds lowlatency consumption services on top of the Enterprise Data Fabric and data catalog, and delivers product governance services, operational dashboards, and computational governance embedded into the platform. The team uses automation and agentic techniques as implementation tools to improve discovery, comprehension, and selfserve user journeys across departments-while maintaining security, entitlements, and policy controls by design.Accountabilities & Qualifications:
Accountabilities
- Build and support Data Enablement services and platform components to improve data discovery, access, and self-service experiences
- Collaborate with users and stakeholders to gather feedback and refine features to ensure solutions are practical and adopted
- Develop solutions with performance, scalability, resiliency, and security in mind, following DevSecOps and operational standards
- Contribute to solution design and documentation (e.g., LLD, interface specifications) and support governance processes (ARB, Information Security)
- Partner with Cloud Foundation and Data Foundation teams to integrate with shared services, entitlements, and platform standards
- Build and maintain backend services (serverless and containerized where appropriate) that support enterprise data platforms and portals
- Implement and maintain APIs, including contracts, versioning, and data validation
- Contribute to workflow automation capabilities within Data Enablement solutions under enterprise controls
Qualifications
- 5+ years of software engineering experience delivering production-grade services using Python
- Strong experience with AWS cloud platform, including networking and secure access patterns
- Solid understanding of identity and access management (IAM, authentication/authorization patterns)
- Experience building backend services and APIs (REST/GraphQL, event-driven architectures, resiliency patterns)
- Hands-on experience with Infrastructure-as-Code and DevSecOps practices (e.g., Terraform, CI/CD, security controls)
- Experience with observability and reliability practices (monitoring, alerting, incident response)
- Strong API design experience (OpenAPI/Swagger, versioning, backward compatibility)
- Experience working with structured data formats and schema processing (e.g., JSON)
- Working knowledge of authentication and authorization patterns (e.g., Cognito, IAM)
Nice to have
- Experience with agentic or orchestration frameworks (e.g., AWS Bedrock, LangChain, LlamaIndex)
- Understanding of retrieval approaches such as RAG and GraphRAG
- Experience with vector search technologies (e.g., OpenSearch, Pinecone, Weaviate)
- Familiarity with containerization and platform operations (e.g., Docker, Kubernetes/EKS)
- Experience integrating with enterprise data platforms, catalogs, or governed access patterns
- AWS Data & Analytics certification; ML-related certification is a plus
#INDGD-T
You are motivated to contribute to something larger than yourself, approach complex challenges with rigor, and hold yourself tohigh standardsin a collaborative, performance-driven environment.
We provide colleagues with cutting-edge AI tools, dedicated learning time, and practical support to help them deliver with greater impact.
Inclusion & Accessibility
CPP Investments is committed toequitableaccess to employment and building a workforce that reflects diverse talent and perspectives. If you require accommodation at any stage of the recruitment process, please let us know and we will work with you to meet your needs.
Attention: Protect Yourself from Fraud
CPP Investments is committed to a secure and transparent recruitment process. We will never ask candidates for payment or financial information at any stage of hiring. All legitimate opportunities are posted on our careers page, and communications will come from our applicant tracking system, Workday.
CPP Investments may use AI tools to help screen and assess applicants by analyzing resumes and applications for relevant skills and experience. These tools support, but do not replace, human decision-making.
#LI-ONSITE