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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 ...

ICES Central

Data Quality Analyst

Toronto, ON · On-site

Advanced knowledge of SAS and other data management tools, at the Certified SAS Advanced Programmer level; * Facility with macro writing and SQL; * Creativity in developing data quality measures, and ...

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

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.

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.

THOMSON REUTERS

Lead Data Engineer

Toronto, ON · Hybrid

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our ... Establish and enforce best practices for data integrity, accuracy, and governance across all ...

hireVouch

Data Scientist/Data Engineer

Toronto, ON · On-site

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

Gadventures

Intermediate Data Engineer

Toronto, ON

Support the Principle Data Engineer in optimizing the data environment; implementing methodologies and automated tests, ensuring robust and reliable solutions, promoting data integrity,accuracy ...

Project X

Azure Data Engineer (Databricks)

Toronto, ON · On-site

Ensure data integrity by implementing quality checks, handling errors, and performing root cause ... in data engineering with a focus on Python-based development.  * Proven experience using DBT ...

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 ...

Sun Life Financial

Senior Data Engineer

Toronto, ON · On-site

Design and engineer data models that represent our key business entities such as our Advisor ... Ensure high level of data quality and data integrity are maintained across data sources for ...

Sun Life Financial

Senior Data Engineer

Toronto, ON · On-site

Design and engineer data models that represent our key business entities such as our Advisor ... Ensure high level of data quality and data integrity are maintained across data sources for ...

SYSTRA

Data Engineering Specialist

Toronto, ON · On-site

SYSTRA Canada is an engineering and consulting firm whose primary focus is to offer transportation ... and data integrity. * Advanced Excel, Power Query, DAX, and Python for analytics. * Microsoft ...

GFR Technologies SE

Data Engineer

Toronto, ON · On-site

... integrity, and governance standards are maintained Collaborate with Data Analysts, Data Scientists ... Data Engineering or similar role Strong programming skills in Python, Scala, or Java Hands-on ...

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All JobsData Integrity Engineer JobsData Integrity Engineer Jobs in Toronto, ON

Data Integrity Engineer information

What are the 4 types of data integrity?

Data integrity in a Data Integrity Engineer role refers to the accuracy, consistency, and reliability of data throughout its lifecycle. The four main types are physical integrity (protection against physical damage), logical integrity (accuracy and consistency of data within databases), referential integrity (maintaining valid relationships between data), and data integrity constraints (rules enforcing data validity). Ensuring these types are maintained often involves using database management tools, validation processes, and security measures.

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 engineers make $300,000 a year?

Senior engineers in specialized fields such as data engineering, software engineering, or machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications.

What engineers make $500,000?

Senior data integrity engineers, especially those with extensive experience, advanced certifications, and expertise in database management, data governance, and security, can earn salaries approaching or exceeding $500,000 annually in high-paying industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in technology or finance sectors.

Can I make 200k as a data engineer?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

What are Data Integrity Engineers?

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 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, 71% Full Time, 26% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

ShyftLabs

Toronto, ON • Hybrid

CA$100K - CA$140K/yr

Full-time

Medical, Dental, Vision

Re-posted 11 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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