Job Title: Senior Data Engineer Service
Contract Length: 12 Months
Location: Remote
Federal Government Clearance Level Required: Enhanced Reliability status
Vacancy Type:
☐ New Position
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About Us:
Maplesoft Group is currently seeking a remote Senior Data Engineer Service for our Federal Government client.
This role can be filled from anywhere within Canada.
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Position Summary:
The Senior Data Engineer Service Provider will be responsible for leading the delivery of data on data and analytics platform. These services are at the forefront of building out data engineering practice cloud-native technologies. The Senior Data Engineer Service Provider must have experience in leading, designing, implementing, and collaborating with stakeholders to achieve the best results for our clients.
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Key Responsibilities:
• Proven design, build and implementation of batch and real-time data pipelines. Driven by automated repeatable delivery of data that aligns to enterprise data governance standards.
• Experience in developing and proposing design patterns that conform to requirements. Responsible to ensure the proposed design, optimally addresses access and query patterns; data consumption and adheres to internal architecture standards.
• Experienced collaboration working with various stakeholders across the business, data scientists and IT. Working closely building relationships, refining data requirements to meet various data and analytics initiatives and data consumption requirements
• Increase the overall speed in which data is onboarded to the Data and Analytics platform.
• Building robust data pipelines to enable larger data consumption on the Data and Analytics Platform
• Increase the overall quality of data pipeline development through DevSecOps
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Required Qualifications:
• Programming experience in Spark using modern languages such as Python, Scala
• Experience working with modern data architectures like Azure Data Lake Storage, Azure Databricks, Azure Synapse (formerly SQL Data Warehouse) and Delta Lakes
• Experience leading Data Engineering principles within an organization/team.
• Experience working with Integration patterns and technologies such as Azure Event Hub, Function App and C#
• Knowledge and expertise of database modeling techniques: Data Vaults, Star, Snowflake, 3NF, etc.
• Experience working with streaming data architecture and technologies for real-time: Spark Streaming, Kafka, Flink, Storm
• Experience working with relational and non-relational database technologies: SQL Server, Oracle, Cassandra, MongoDB, CosmosDB, HBase
• Experience working with source code and configuration management environments such as Azure DevOps, Git, Maven, Nexus
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Preferred Qualifications:
• Experience within Azure environment
• Strong Python, Scala and Spark experience
• Experience modernizing data platforms.
• Experience with Azure Functions and C#
• 2 to 3 projects developing Data Vault
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Compensation:
Salary Range: $75.00 – $100.00 per hour
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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.
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Application Submission Details:
Submission Deadline:
January 22, 2026 12:00pm 

How to Apply:
Submit your resume (and cover letter if required) to:
• info@maplesoftgroup.com
     or
• https://www.maplesoftgroup.com/Careers/Career-Opportunities
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Maplesoft is an equal opportunity employer and welcomes applications from all qualified candidates. Accommodations are available upon request throughout the recruitment process.