Data Engineer

Post Date

Jul 21, 2025

Location

Vancouver,
British Columbia

ZIP/Postal Code

V6J 1
Canada
May 13, 2026 Insight Global

Job Type

Contract

Category

Data Warehousing

Req #

VAN-b71e02b2-ffe2-4980-98f8-9451a86d2086

Pay Rate

$41 - $51 (hourly estimate)

Who Can Apply

  • Candidates must be legally authorized to work in Canada

Job Description

Insight Global is seeking a Data Engineer to join a large retail client hybrid in Vancouver BC. On the day to day you will:

A day in the life:
• Co-ordinate with multiple data source teams in getting data published to our Finance Data Warehouse
• Working with stakeholders including data, design, product, and executive teams, and assisting them with data related and technical issues.
• Building Scalable Data Pipelines for generating training datasets for machine learning deliverables
• Mentoring Junior resources and drive end to end design, implementation, and delivery of engineering components.
• Communicating with and educate both senior and junior colleagues to further embed data science and analytics across the organization.
• Strive for continuous improvement of code quality and development practices.
• Willingness to adapt to and self-learn new technologies and deliver on them.
• Translating business issues to technical terms
• Understanding, leveraging, and applying best practices effectively. Also leads by example and comes up with coding standards and best practices for technology.
• Collaborating with cross-functional teams – business stakeholders, engineers, program management, project management, etc. - to produce the best solutions possible.
• Anticipating system/application challenges and proposes solutions for the same.
• Contributing to story sizing and work estimates for implementation, validation, delivery, and documentation
• Reviewing user stories to ensure a quality user experience, well-defined acceptance criteria and thorough test coverage.
• Participating in design and code review to ensure quality and testability of feature code.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Required Skills & Experience

Requirements:
• 3-5 years experience working as a data engineer with cloud based systems such as Azure and Snowflake
• Experience working with Kafka technologies.
• Experience with Real Time Analytics and Real Time Messaging
• Expertise in designing data table structures, reports, and queries.
• Working knowledge of CI/CD
• Working knowledge of building data integrity checks as part of delivery of applications
• Experience working with large volume data; retail experience strongly desired.

Nice to Have Skills & Experience

Plusses:
• Working experience with Microservices is desirable.
• MS Degree in Computer Science or related technical degree completed.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.