Careers

Why be a part of Maplesoft Group?

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Do you want to work in a dynamic environment where your contributions count?

At Maplesoft, we value the contributions of all our employees and contractors. We listen and act upon suggestions, advice, and innovative ideas to further our strategic vision. In turn, Maplesoft contributes to the communities where we live and operate. We think globally, but act in our own backyards.

Build your future with Maplesoft’s exciting technologies, deep partnerships, personal approach to consulting services, professional development opportunities and exciting company culture.

To be considered for new opportunities please send us your resume at info@maplesoftgroup.com

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    Here's How to Apply

    If you are interested in any of following job openings, please apply directly to info@maplesoftgroup.com, citing the position title and job id in the email subject line.

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    Title Data Engineer
    Location Hybrid in Guelph, Mississauga, Toronto or Burlington
    Start Date 03-02-2026
    Language English
    Salary $60.00 – $100.00 per hour
    Security Clearance None
    Duration 6 Months
    Date Posted 02-11-2026
    Job ID 14114
    Recruiter Email
    Job Title: Data Engineer
    Contract Length: 6 Months
    Location: Hybrid in Guelph, Mississauga, Toronto or Burlington
    Federal Government Clearance Level Required: None
    Vacancy Type:
    ☐ New Position
    ________________________________________

    About Us:
    Maplesoft Group is currently seeking a hybrid Data Engineer for our client.
    ________________________________________

    Position Summary:
    We are seeking a Senior Data Engineer with strong experience building client data products. 
    This role is responsible for integrating data from multiple sources and developing a client-centric data platform, including capabilities such as a 360-degree view of the customer.
    ________________________________________

    Required Qualifications:
    • Strong experience with data ingestion and building data product with Azure Databricks (Pyspark). 
    • Hands-on experience with Object-Oriented Programming.
    • Hands-on expertise with Azure ADLS, ADF, Databricks, Fabric, Spark, Python/PySpark, SQL, Git-based CI/CD, and API integrations.
    • The ideal candidate has proven experience designing enterprise data platforms, including:
    • Client master data models and golden record solutions
    • Ingestion, and standardization of multi-source client data (MDM, CRM, digital, transactional, external sources)
    • Building curated/client-centric data layers to enable analytics, reporting, and downstream consumption
    • Strong knowledge of data quality, data governance, data modelling, and metadata management is required. 
    • 5+ years of experience delivering client-facing data solutions or products, with demonstrated experience leading or mentoring data engineering teams.
    ________________________________________

    Compensation 
    Salary Range: $60.00 – $100.00 per hour
    ________________________________________

    Our recruitment process is led by human recruiters who review all applications and make the final hiring decisions. We use AI-assisted tools to help screen and organize applications. These tools do not replace human judgment, and all hiring decisions are made by people.
    Please note that data collected by the Company may be stored or processed on servers located outside of Canada.
    ________________________________________

    Application Submission Details
    Submission Deadline:
    Monday, February 16, 2026 12:00pm EST

    How to Apply:
    Submit your resume (and cover letter) to:
    • info@maplesoftgroup.com
    Or
    • https://www.maplesoftgroup.com/Careers/Career-Opportunities
    ________________________________________

    Maplesoft is an equal opportunity employer and welcomes applications from all qualified candidates. Accommodations are available upon request throughout the recruitment process.

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    Think you're a great fit for our team? Explore our Job Opportunities page.

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