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

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 ...

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 ...

Data Designer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

Data Design and Quality Engineering, owning Data Lineage/Analysis and DQ validation delivery/test ... Run quality assurance reports and resolve data integrity issues to ensure accurate reporting and ...

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

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 ...

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

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 ...

... data integrity, supporting system transitions, and ensuring successful business outcomes. * The successful candidate will combine strong technical expertise in data engineering, programming, data ...

E.--Passion, Integrity, and Execution--and look for people who do the same. The Role We're hiring a Data Engineer to build and maintain the data products our enterprise customers consume. Our ...

The Wealth Data engineering team within the Global Wealth Engineering (GWE) is the key team in ... Provide end-to-end business/technical guidance and expertise on data integrity and referential ...

Indirect Summary As a QA Engineer, you will ensure the quality and reliability of our core Supply ... Perform database testing using SQL to verify data integrity in relational databases (Oracle DB ...

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing ... work with honesty, integrity, teamwork, and empathy. At TheAILabb, we believe diversity and ...

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing ... work with honesty, integrity, teamwork, and empathy. At TheAILabb, we believe diversity and ...

Showing results 21-40

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.

Senior Data Engineer

Sun Life Financial

Toronto, ON • On-site

Full-time

Re-posted 14 days ago


Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

90th of 307 rated insurance


Job description

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.


At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.


When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.


Discover how you can make a difference in the lives of individuals, families and communities around the world.


Job Description:

The Client Experience Office (CXO) is an important pillar of Sun Life Canada's Data and Analytics growth and corporate strategy and as such, is seeking experienced data engineering individual with a proven track record working with data consumers to extract meaningful insights from enterprise data. This Senior Business data engineer will play an indispensable role in assembling the necessary data products that fuel myriads of analytical models used by our various business units across Canada.

Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

What will you do:

  • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product
  • Ensure high level of data quality and data integrity are maintained across data sources for business data assets
  • Convert complex business and technical rules into logic for data flows and data pipelines
  • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value
  • Work with our Data Science teams to implement data products for various use cases
  • Collaborate with stakeholders and incorporate into solution design for various use case requirements
  • Standardize metadata into a common glossary along with the necessary documentation for data consumers
  • This is a senior individual contributor role bridging the requirements of Business consumers and data engineering practitioners to support the overall Business Data Strategy.
  • This role will be partnering closely with CXO business stakeholders, enterprise governance and risk partners, and CXO data practitioners

What do you need to succeed?

  • 3-5 years hands-on experience working on major Cloud technologies and programming languages for data processing and analytics
  • 3+ years experience with AWS and Snowflake platforms for building robust ETL pipelines, Catalog management, Data Quality and Governance implementation to keep data compliant and reliable.
  • 3+ years experience and proficiency in Python, Pyspark and SQL
  • Demonstrated Experience in cost and performance optimization of Spark and SQL jobs
  • 5 years hands-on experience with relational database systems, relational models, dimensional models, and analytical models
  • 3-5 years experience with engineering data products as input to various analytical models
  • 3-5 years building feedback loops between model deployment and its data - i.e. tune & tweak data products to achieve scale, optimization, etc.
  • Sound understanding of Data Management principles (data warehousing, data quality, master data management, etc.) and Data Governance principles. Sound understanding of data modelling and a passion for analytics
  • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into production-grade data products
  • Experience of popular data formats like Parquet and Iceberg
  • Experience in BI Tools like Tableau , Quicksight , Streamlit is a definite plus.
  • Experience working with very large datasets and familiarity with big data technologies
  • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

What will be nice to have

  • Understand and Embrace Agile Operating Model
  • Understanding of AI concepts and Machine learning and familiarity with AI services of AWS and Snowflake platforms
  • Knowledge of fundamental statistical models & techniques
  • Knowledge and experience working with DevOps technologies
  • Experience working in a large financial services organization
  • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent
  • Graduate degree in business or quantitative science strongly preferred

What's in it for you:

  • We're honoured to be recognized as a 2026 Best Workplaces in Canada by Great Place to Work Canada.
  • We are thrilled to be recognized by Excellence Canada with their top-level certification, the Canada Order of Excellence for Mental Health at Work, for prioritizing employee well-being, fostering a positive work culture, and achieving excellence in mental health.
  • Wellness programs that support the three pillars of your health - mental, physical, and financial
  • The opportunity to move along a variety of career paths with amazing networking potential.
  • As a hybrid organization, you and your leader use business and Client need to choose where you work, at home or in the

Unique Requirements:

This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as part of your application, the Government of Canada will ask if you lived or travelled outside of Canada for 6-consecutive months during the last 5 years, and you must account for all activities during this time. Important: Obtaining Reliability Status Clearance within a reasonable amount of time is a condition required to start employment for this role at Sun Life.

Must be able to satisfactorily complete applicable background checks prior to the start date and during employment, in accordance with Sun Life's policies and practices.


The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.


Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.


Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to thebrightside@sunlife.com.


We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you.


We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.


We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.


Salary Range:

80,000/80 000 - 128,000/128 000

Job Category:

Advanced Analytics

Posting End Date:

10/08/2026

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