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

ShyftLabs

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

Ensure data integrity, quality, and reliability in all pipelines. What You Bring * Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. * 5+ years of hands-on ...

Semtech

Principal Packaging Engineer

Burlington, ON

... Integrity Products (SIP) Business Unit delivers high-performance mixed-signal ICs for the data ... Job Summary As a Principal Engineer in IC Package Design and Signal Integrity, you will lead the ...

GFL Environmental

Data Engineer

Vaughan, ON

... ensuring data integrity, availability, and security. Data Processing and Analysis: Utilize AWS ... Strong programming skills in languages such as Python, SQL, and Java. Data Modeling and ETL ...

Scotiabank

Data Engineer

Toronto, ON · On-site

The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization-one ... You will perform data integrity validation to ensure accuracy, reliability, and consistency of data.

Scotiabank

Data Engineer

Toronto, ON · On-site

The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization ... You will perform data integrity validation to ensure accuracy, reliability, and consistency of data.

Clio

Data Engineer

Toronto, ON · Hybrid

CA$119K - CA$161K/yr

Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation * Develop prototype or "proof of concept ...

BMO Capital Markets

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

Ensure data integrity, reliability, and high availability in mission-critical workloads. Model and ... Strong programming skills in Python, Scala, or Java, with a passion for learning new technologies.

Royal Bank of Canada

Sr Data Engineer

Mississauga, ON · On-site

CA$80K - CA$130K/yr

Ensure data integrity, quality, and governance throughout the transformation process * Collaborate ... Computer Science or Engineering degree, or equivalent experience * Strong analytical thinking and ...

hireVouch

Data Scientist/Data Engineer

Toronto, ON

Data Scientist (AI & Data Engineering) - External Data & Intelligent Insights Location Toronto, ON ... Ensure data integrity : Maintain high quality, consistency, and lineage across disparate external ...

Fulfillment IQ

Backend Engineer III

Toronto, ON · On-site

CA$125K/yr

Ensure data integrity, correctness, and API performance * Write tests and contribute to shared engineering standards * Integrate with external systems and data sources * Collaborate closely with full ...

Fulfillment IQ

Backend Engineer III

Toronto, ON · Hybrid

CA$125K/yr

Ensure data integrity, correctness, and API performance * Write tests and contribute to shared engineering standards * Integrate with external systems and data sources * Collaborate closely with full ...

IKO Industries, Inc

Senior Data Engineer

Mississauga, ON

CA$130K - CA$140K/yr

Quality, integrity, and trustworthiness are the values that underlie this success, and we have ... As a Senior Data Engineer , you will ensure scalable and efficient data systems by addressing ...

Financeit

Data Engineer

Toronto, ON · On-site

Participate in data migration projects, ensuring data quality and integrity during the migration ... to data engineering * Contribute to process improvements, documentation, and knowledge sharing ...

HireValues

Data Architect

Toronto, ON · On-site

... data integrity and database tools. Develops and articulates actionable target state data ... Data Analytics, Business Intelligence, Data Science, Computer Science, Engineering or Statistics ...

Financeit

Data Engineer

Toronto, ON

Participate in data migration projects, ensuring data quality and integrity during the migration ... University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or ...

Financeit

Data Engineer

Toronto, ON · On-site

Participate in data migration projects, ensuring data quality and integrity during the migration ... University degree in Engineering, Math, or Computer Science * 2+ years of full-time and/or ...

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Data Integrity Engineer information

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 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 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 popular job titles related to Data Integrity Engineer jobs in Toronto, ON?

For Data Integrity Engineer jobs in Toronto, ON, the most frequently searched job titles are:

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:

Data Integrity Engineer jobs near you
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.

Data Engineer

ShyftLabs

Toronto, ON • Hybrid

CA$100K - CA$140K/yr

Full-time

Medical, Dental, Vision

Re-posted 22 days ago

Job description

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We're growing fast and we're looking for passionate problem-solvers who are ready to turn big ideas into real outcomes.


The Opportunity

ShyftLabs is seeking a skilled Data Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role requires strong expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP). The ideal candidate will collaborate with cross-functional teams to drive data-driven insights and ensure scalable, high-performance data architectures.

What You'll Be Doing

  • Design, implement, and optimize big data pipelines in Databricks.

  • Develop scalable ETL workflows to process large datasets.

  • Leverage Apache Spark for distributed data processing and real-time analytics.

  • Implement data governance, security policies, and compliance standards.

  • Optimize data lakehouse architectures for performance and cost-efficiency.

  • Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows.

  • Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks.

  • Automate workflows using CI/CD pipelines and infrastructure-as-code practices.

  • Ensure data integrity, quality, and reliability in all pipelines.

What You Bring

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

  • 5+ years of hands-on experience with Databricks and Apache Spark.

  • Proficiency in SQL, Python, or Scala for data processing and analysis.

  • Experience with cloud platforms (AWS, Azure, or GCP) for data engineering.

  • Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture.

  • Experience with CI/CD tools and DevOps best practices.

  • Familiarity with data security, compliance, and governance best practices.

  • Strong problem-solving and analytical skills with an ability to work in a fast-paced environment.

Nice to Have

  • Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Developer).

  • Hands-on experience with MLflow, Feature Store, or Databricks SQL.

  • Exposure to Kubernetes, Docker, and Terraform.

  • Experience with streaming data architectures (Kafka, Kinesis, etc.).

  • Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker).

  • Prior experience working with retail, e-commerce, or ad-tech data platforms.

Salary Range
  • $100,000 - $140,000
Why You'll Love Working at ShyftLabs
Hybrid Flexibility: 3 days per week in our downtown Toronto office. This role is also open to candidates based out of the Calgary area.
Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one.
Growth & Learning: Continuous learning opportunities and influence over technical direction.
 
Inclusion at ShyftLabs
We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.
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