Location: Toronto, ON — Hybrid (4 Days Onsite, 1 Day WFH)

Duration: 1 Year contract (ASAP Start) | Extension & Conversion Possible Schedule: Monday–Friday, Core Business Hours

Job Description

Client is seeking a Senior Application Engineer to join a 50-person engineering team supporting an in-flight QRM vendor integration project. In this role, you will build backend processes in C# .NET, develop orchestration layers to coordinate jobs and trigger downstream tasks, and integrate with the QRM vendor's REST API to create/execute jobs, poll statuses, and retrieve/parse logs. You will implement parallel batching strategies to split large jobs into manageable chunks while ensuring data consistency and meeting SLAs. You will leverage Azure Databricks (PySpark notebooks), Unity Catalog, ADLS, Azure SQL Database, and Azure SQL Server (IaaS) to move data across sources and destinations. This is a long-term contract with clear pathways for extension and conversion. The project is already in-flight — we need a candidate who can hit the ground running and contribute immediately without extensive onboarding. If you are a strong application developer with solid object-oriented fundamentals, REST API integration experience, and exposure to Azure cloud services, we want to hear from you.

Responsibilities

Technical Delivery & Backend Development Build backend processes in C# .NET to move data across sources and destinations Develop an orchestration layer to coordinate jobs, trigger downstream tasks, and notify stakeholders on errors Integrate with the QRM vendor REST API: create/execute jobs, poll statuses, retrieve and parse logs Implement parallel batching — split large jobs into manageable chunks, ensure data consistency, and meet SLAs Execute engineering strategy for automating data movement, transformation, and deployment across Azure services API Integration & Vendor Coordination Design, build, and support API service layers that enable interoperability with the QRM vendor platform Implement authentication, error handling, retry logic, and SLA monitoring for vendor API integrations Build polling mechanisms and status tracking for asynchronous job execution Azure & Data Platform (Secondary Scope) Work with Azure Databricks (PySpark notebooks) for data transformation workloads Utilize Unity Catalog for data governance and catalog organization Leverage ADLS (Azure Data Lake Storage) for data storage and movement Develop and optimize solutions on Azure SQL Database and Azure SQL Server (IaaS) Stakeholder & Operations Partnership Partner with Operations to integrate automated data pipelines and orchestrated job releases Apply in-depth understanding of business data needs to identify synergies across technology and functional areas Notify stakeholders on job failures, errors, and SLA breaches through the orchestration layer Act as an expert innovator and agent of change, driving reusable frameworks and platform standards Governance & Continuous Improvement Interact with governance and control groups (regulatory/operational risk, compliance, audit) to provide SME consultation Maintain knowledge of external development, engineering, and emerging solutions Proactively identify emerging technologies for building robust platform domains Support a positive work environment promoting service, quality, innovation, and teamwork Required Skillsets C# .NET Development: Deep hands-on expertise building backend processes, services, and applications in enterprise production environments REST API Integration: Proven experience designing, consuming, and integrating with external REST APIs (authentication, polling, error handling, parsing) Job Orchestration: Experience building orchestration layers to coordinate jobs, trigger downstream tasks, and manage error notifications Parallel Batching: Demonstrated ability to split large jobs into manageable chunks, ensure data consistency, and meet SLAs Application/Object-Oriented Development: 7–10 years of experience with strong OOP principles, design patterns, and enterprise architecture Azure Databricks: Working knowledge of Databricks workspaces and PySpark notebooks (data experience is secondary but required) Unity Catalog: Familiarity with unified data governance and catalog organization ADLS: Experience with Azure Data Lake Storage Gen2 for data movement Azure SQL Database / Azure SQL Server (IaaS): Development, querying, and integration experience Communication & Stakeholder Management: Strong facilitation, presentation, and cross-functional collaboration skills Preferred Skillsets Data Engineering Background: 2–3 years of data experience (ETL/ELT, data pipelines, data modeling) Azure Data Factory (ADF): Pipeline development and orchestration Azure Synapse: Analytics and data warehousing platform experience SQL Warehousing: Data warehousing concepts and implementation SQL Server / SSIS / SSAS: Vendor-internal tools experience HPC (Microsoft High-Powered Computing): Awareness of high-performance computing concepts AI-Assisted SDLC: Integrating AI into the software development lifecycle using reusable prompts, skills, and agents Enterprise Frameworks: Building enterprise-grade software and reusable engineering frameworks Governance & Risk: Experience consulting with regulatory, operational risk, compliance, and audit groups Vendor Integration: Experience integrating third-party platforms into enterprise ecosystems Banking/Financial Services: Regulated industry domain knowledge

About US Tech Solutions

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com

Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during the recruitment process.