Full Stack Engineer (1876) 90-94hr

NOTE: HYBRID work model, 3-days on-site in Toronto/week Type: 5-month contract (possibility of extension) Rate: $90-94/hr, 8 hours/day, 40 hours/week SKILLS: 5+ Full Stack developer, C#, SQL, Python, develop APIs, SSAS, MDX, OLAP, cubes, measures, hierarchies, financial analytics, Snowflake, Azure, AKS, GitHub Copilot, Cursor, React, Angular, CloudBees, Jenkins, UrbanCode, Angular Industry: Bank DESCRIPTION: Our banking client is seeking a highly skilled Senior Full Stack Developer to help modernize enterprise financial reporting and analytics platforms. This is an exciting opportunity to work on large-scale, business-critical applications while leveraging modern technologies including .NET Core, Azure, Python, Snowflake, React/Angular, and AI-assisted development tools. You will play a key role in designing and developing next-generation financial reporting solutions, modernizing legacy OLAP and SSAS environments, and building scalable cloud-based applications that support critical business decision-making. Design, develop, and enhance full-stack financial reporting and analytics applications. Build secure, scalable, and high-performance solutions using .NET, .NET Core, C#, SQL, and Python. Develop and integrate APIs, backend services, and data-driven applications. Collaborate with business stakeholders, analysts, and technology teams to translate reporting requirements into innovative technical solutions. Support the modernization of existing SSAS multidimensional and OLAP-based reporting platforms, including: Cubes Measures Hierarchies Semantic models Financial reporting logic Contribute to cloud-enabled architecture initiatives leveraging Microsoft Azure services. Participate in code reviews, solution design discussions, testing, and deployment activities. Utilize modern development practices and AI-assisted coding tools to improve productivity and code quality. REQUIREMENTS: 5+ years of hands-on software development experience. Strong experience with: .NET / .NET Core C# SQL Python Proven experience building: APIs Backend services Data-integrated applications Experience translating business requirements into technical solutions. Financial Analytics & Reporting Strong knowledge of: SSAS Multidimensional Models MDX OLAP Concepts Cubes Measures Hierarchies Financial Analytics and Reporting Data Platforms Experience working with one or more of: SQL Server Oracle PostgreSQL Snowflake Other enterprise analytical databases Cloud & Modern Development Experience with Azure cloud technologies, including: Azure Kubernetes Service (AKS) Azure Data Lake Storage Azure Key Vault Experience with multi-threaded programming. Hands-on experience using AI-assisted development tools such as: GitHub Copilot Cursor Similar coding assistants Nice-to-Have Skills Experience with any of the following is considered a strong asset: React and/or Angular CI/CD platforms including: Jenkins CloudBees UrbanCode Enterprise-scale, high-performance systems Integration with analytics engines and calculation services Financial reporting modernization initiatives NOTE: As part of our hiring process, we use AI‑based systems to support initial applicant screening. TO APPLY: https://directitrecruiting.com/job/full-stack-developer-1876/

Design and develop full-stack financial reporting and analytics applications using .NET, Python, and Azure. Modernize legacy OLAP and SSAS environments to build scalable cloud-based solutions for business decision-making.

Requires 5+ years of software development experience with strong proficiency in C#, SQL, Python, and financial reporting tools like SSAS. Experience with Azure cloud services and AI-assisted coding tools is essential.

• C++Preferred
• SQLPreferred
• PythonPreferred
• Microsoft AzurePreferred
• ReactPreferred
• AngularPreferred

Identified from the job description. Confirm important requirements above.

• C#
• .NET Core
• SQL
• Python
• SSAS
• MDX
• OLAP
• Snowflake
• Azure
• AKS
• React
• Angular
• GitHub Copilot
• Cursor
• Jenkins
• Financial Analytics

• Software
• Technology
• Data & Analytics
• Finance & Accounting
• Engineering

Minimum experience

5+ years

Apply by

Sep 14, 2026

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available