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Data Integrity Engineer Jobs in Toronto, ON (NOW HIRING)

Senior Full Stack Engineer

Toronto, ON · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Balance performance, data integrity, and maintainability as systems evolve. Quality Engineering Write clean, maintainable, and well-tested code, applying shift-left practices such as unit and ...

... engineering best practices. * Applies iterative development practices across all phases of data ... Ensures the availability, reliability, and integrity of data products through monitoring, controls ...

Join our team as a Data/AI Engineer and play a key role in building the data foundation for AI ... Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an ...

Manager, Data Analytics - Canada

Toronto, ON · Remote

CA$300/day

  • Medical

  • Dental

  • Vision

  • Life

Ensure data integrity: Own the lifecycle of data feeds, encompassing validation, monitoring ... Stay at the forefront of modern data engineering technologies and industry trends to evolve our ...

The Lead Data Engineer is responsible for designing, building, and maintaining scalable data ... Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an ...

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

Troubleshoot issues related to ingestion, data transformation and pipeline performance, data accuracy and integrity. Collaborate with Business Analysts, data scientists, Senior Data Engineers, data ...

We are seeking a Data Quality Engineer responsible for implementing enterprise data quality ... Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an ...

We are seeking a Lead Data Engineer to build and maintain scalable data pipelines supporting ... Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an ...

Join RBC as a Data Engineer to design, build, and maintain stable, scalable data assets in ... Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an ...

25-167 Data Engineer

Oshawa, ON · Hybrid

$75 - $95/hr

... integrity. Collaborate with data architect, business analysts, data scientists, data engineers ... data analysts, solution architects and data modelers to develop data pipelines to feed our data ...

Senior Data Modeller

Mississauga, ON · On-site

CA$119K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... integrity, consistency, and performance across all pipelines and systems. Data Analysis & SQL ... Collaboration & Implementation - Collaborate with data engineers and ETL/ELT teams to implement ...

Senior Specialist, Data

Toronto, ON · Hybrid

CA$92K - CA$142K/yr

  • Retirement

  • PTO

Working with business and engineering team on test planning, test case creation, documentation, and ... data integrity, and data governance. * Keeping current on data and analytics tools and best ...

... data integrity by collaborating with data engineering teams to validate clean and structure data pipelines CrossFunctional Collaboration Partner with teams across Product Marketing Finance or ...

Showing results 41-60

Data Integrity Engineer information

What is the difference between Data Integrity Engineer vs Data Quality Analyst?

AspectData Integrity EngineerData Quality Analyst
Primary FocusEnsuring accuracy, consistency, and security of data across systemsAssessing and improving data quality, completeness, and usability
Skills & CertificationsDatabase management, SQL, data governance, certifications like CDMPData analysis, data profiling, quality frameworks, certifications like CDMP
Work EnvironmentIT teams, data engineering, database administrationBusiness analysis, data analysis teams, quality assurance
Industry UsageTech, finance, healthcare, where data security is criticalRetail, marketing, finance, focusing on data usability

While both roles focus on data, Data Integrity Engineers primarily ensure data security and consistency across systems, whereas Data Quality Analysts focus on assessing and improving data quality for business insights. Both roles often collaborate but serve distinct functions within data management.

What are the key skills and qualifications needed to thrive as a data integrity engineer, and why are they important?

To thrive as a Data Integrity Engineer, you need strong analytical skills, a background in computer science or information systems, and experience with data management principles. Familiarity with database platforms (such as SQL), data validation tools, and knowledge of regulatory compliance standards are typically required. Attention to detail, problem-solving ability, and effective communication help ensure data accuracy and facilitate collaboration across teams. These skills are critical for maintaining reliable, secure, and compliant data systems that support informed business decisions.

What is a data integrity engineer?

Data Integrity Engineers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes to prevent data corruption, loss, or unauthorized modification. These engineers work closely with database administrators, data analysts, and IT teams to monitor data flows, validate data quality, and enforce data governance policies. Their role is crucial in industries where high-quality data is essential for decision-making, compliance, and operational efficiency.

What are some common challenges data integrity engineers face when ensuring data quality across large, complex systems?

Data Integrity Engineers often encounter challenges such as managing data consistency across multiple databases, identifying and resolving discrepancies caused by data migrations, and ensuring compliance with regulatory standards. Additionally, they must frequently collaborate with software developers and database administrators to implement automated validation processes and address data anomalies promptly. Staying updated with evolving best practices and tools is crucial, as data environments and requirements can change rapidly in large organizations.

What job categories do people searching Data Integrity Engineer jobs in Toronto, ON look for?

The top searched job categories for Data Integrity Engineer jobs in Toronto, ON are:

Infographic showing various Data Integrity Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Full-time

Posted 3 days ago

New


Job description

The Research Data Specialist I will assist with the overall coordination in all aspects of data management in a clinical study at PHRI.  They will work under the direction of a Research Project Manager I-III and (Associate) Program Manager, Research Operations, in conjunction with the study Principal Investigator to oversee the conduct of the study from conceptualization to completion. Responsibilities include: oversee the management and reporting of data;. Support integration of workflows between data management and other study processes (e.g. IP management & site management); Troubleshoot issues related to data management systems and problem solve to determine a solution; Respond to data-related questions from internal and external partners;  Request and review reports to maintain data integrity of the study; Requesting, and testing/validation of reports; Communicate with participating clinical centres regarding data issues and query resolution;. Maintain study support tools, reports, and trackers; Maintain and manage access to the study database and systems for all study personnel;. Assist and liaise with developers and end users to support development of study-specific technology; Perform activities related to safety reporting, event adjudication, medical coding, major protocol deviations, and data transfers; and Perform activities related to major protocol deviations and data transfers.

1. Community College diploma in Business, Computer Science, or a Health-related field.
2. Experience with database management, programming, development, and use of databases is considered an asset.
3. Proficient in Microsoft Office Suite.
4. Ability to problem-solve, work independently, adapt to constant change, take initiative, self- motivate, be flexible, and multi-task.
5. Excellent communication (written and verbal) and interpersonal skills.
6. Familiarity with electronic data capture software and data authoring software such as Framemaker, iDataFax, TrialMaster, RedCAP.