Job Title: Engineer II – Application Engineer & .NET Full-Stack Developer (Azure Databricks / Data Engineering / .NET Duration: 12 months (Possibility of extension/conversion) Location: Toronto, ON (Hybrid – 4 days onsite a week) Scope of Project: Vendor integration Team Size/Culture: 50 Required degree/Level of Education: University degree – Computer Science, Math, engineering is ideal.

Years of Overall Experience: 7 plus years

Preferred/Ideal Candidate Background: Looking for a senior application engineer with experience in .NET full stack and data engineering. Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements.

Provides deep technical expertise across

(1) .NET full-stack development — C#, ASP.NET Core Web APIs, and modern front-end frameworks (e.g., React/TypeScript) — and (2) data engineering on Azure Databricks, Python notebook development, job orchestration, and scalable data platforms across ADLS, ADF, Azure Databricks (including Unity Catalog and Lakeflow), Azure SQL, Airflow, and SQL. Designs, builds, operationalizes, and supports reliable, secure, and high-performing enterprise-grade applications and data solutions — spanning the .NET API/service and UI layers through to the underlying data platform — that can scale to process multi-millions of records daily in compliance with enterprise and industry standards.

Must Have7+ years .NET full-stack development

C# ASP.NET Core Web APIs modern front-end frameworks (e.g., React/TypeScript) 7+ years relevant experience in data engineering Azure Databricks Python notebooks Job orchestration scalable data platforms across ADLS, ADF, Azure Databricks (including Unity Catalog and Lakeflow) Azure SQL, Airflow, and SQL Soft Skills:Strong communication, facilitation, and stakeholder management skills across business and technology teams. NICE TO HAVEIntegrating AI into the SDLC using reusable prompts, skills, instructions, and agents Building enterprise-grade software and frameworks Designing scalable solutions capable of handling multi-millions of records daily. KEY ACCOUNTABILITIESLeverage deep technical expertise in .NET full-stack development (C#, ASP.NET Core back-end APIs, and front-end UI) alongside data engineering on Azure Databricks, Python, and SQL, to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates Design, build, and maintain enterprise-grade .NET applications and service layers — including ASP.NET Core Web APIs, business logic, and front-end interfaces — that expose data products and platform capabilities to end users** Execute on Engineering strategy as it relates to the introduction of tools and the automation of .NET service deployment, data ingestion, transformation, notebook execution, job scheduling, and deployment activities across .NET API services, Azure Databricks, ADF, Airflow, and Azure-based data platforms Employee / TeamContinuously enhance knowledge/expertise in own area and keep current with emerging industry trends, new technologies and best practices in the external market that can contribute to delivering effective client solutions across .NET full-stack development (C#, ASP.NET Core, front-end frameworks), Azure Databricks, ADLS, ADF, Azure SQL, Airflow, SQL, API service development, and modern data engineering tooling. Prioritize and manage own workload in order to deliver quality results and meet timelines. Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues / points of interest. Participate in knowledge transfer with senior management, the team, other technical areas and business units. Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services. Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team through reusable .NET components and services, data engineering components, automated orchestration, AI-assisted SDLC practices, and scalable processing frameworks Breadth & DepthExpert knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, with specialization in .NET full-stack development (C#, ASP.NET Core Web APIs, and front-end UI frameworks) and data engineering on Azure Databricks, Python notebook development, job orchestration, SQL, API service layers, ADLS, ADF, Azure SQL, Airflow, Unity Catalog, and Lakeflow Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role across enterprise data ecosystems, data governance, and scalable cloud platform implementations Expert knowledge and experience in own discipline as a senior engineer building enterprise-grade .NET full-stack applications and data services**, reusable frameworks, and robust APIs; integrates knowledge of business and functional priorities Acts as a key contributor in a complex and critical environment delivering scalable .NET applications and data solutions that support processing of multi-millions of records daily May provide leadership to teams or projects; shares expertise Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations involving full-stack .NET application development, large-scale data ingestion, transformation, orchestration, API enablement, and governed analytics platforms Generally reports to a Senior Manager or above Experience & EducationUniversity or post-graduate degree Strong academic background (e.g., computer science, engineering) 7+ years relevant experience spanning .NET full-stack development and data engineering, including: Extensive hands-on experience in .NET development: C#, ASP.NET Core Web API design and implementation, and front-end development with a modern framework (e.g., React/TypeScript or Angular) Extensive hands-on experience in Azure Databricks, Python notebooks, job orchestration, SQL development, API service layer implementation, and hands-on experience with ADLS, ADF, Azure Databricks (with Unity Catalog and Lakeflow), Azure SQL, and Airflow

Applicant Notices & Disclaimers

For information on benefits, equal opportunity employment, and location-specific applicant notices, click here At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $76.00/hr - $86.66/hr.