$100-$105 per hour
Toronto, ON
Contract
Hybrid with four days onsite and one day remote.
Duration: (12 Months)One-year contract
Schedule: Monday-Friday, core business hours; no overtime or travel.
Job Description
Client is seeking an Application Developer - Sr Python Engineer to support a project-based vendor integration initiative. The engineer will design and maintain secure, scalable Python microservices and APIs, connect platforms and data through REST/gRPC and event-driven patterns, and modernize data solutions across Azure Databricks, Delta Lake, ADLS, Azure Data Factory, Airflow, Azure SQL, Unity Catalog, and SQL. This role offers a long-term one-year contract, meaningful exposure to cloud-native engineering and data-platform modernization, and collaboration with experienced technology, platform, security, and business partners.
Experience: 10+ years of software engineering, including enterprise Python.
Responsibilities:
Application and platform engineering
+ Design, develop, test, document, and maintain secure Python microservices using Fast API.
+ Build RESTful, gRPC, internal platform, data-ingestion, event-driven, batch-processing, and authentication/authorization APIs.
+ Deploy and operate services using Docker and Kubernetes, with Redis and Kafka where appropriate.
+ Create reusable frameworks, automation, and orchestration patterns that improve delivery quality and reliability.
+ Translate complex requirements into practical, production-ready solutions with technology and business partners.
Data engineering and operational excellence
+ Build and optimize data solutions using Python, PySpark, Azure Databricks, Delta Lake, ADLS, Clienture Data Factory, Airflow, Clienture SQL, Unity Catalog, and SQL.
+ Troubleshoot production issues, tune performance, and support releases and readiness activities.
+ Implement testing, monitoring, authentication, authorization, compliance, and reliability practices.
+ Partner with security, platform, engineering, and business teams to deliver governed capabilities.
+ Contribute to knowledge transfer and technical documentation.
Required Skillsets
+ Python: Senior hands-on enterprise development.
+ Fast API: Production microservice development.
+ API design: REST/gRPC and multiple API patterns.
+ Docker/Kubernetes: Containerized deployment and orchestration.
+ Redis/Kafka: Caching, messaging, and event-driven architecture.
+ PySpark: Distributed data processing.
+ Azure data platform: Databricks, Delta Lake, ADLS, Data Factory, Azure SQL, and Unity Catalog.
+ Airflow/SQL: Workflow orchestration and relational querying.
+ Security and quality: Authentication, authorization, testing, monitoring, compliance, and reliability.
+ Enterprise delivery: Troubleshooting, release support, documentation, and cross-team execution.
Preferred Skillsets
+ High-volume enterprise services or pipelines.
+ Reusable internal frameworks and shared services.
+ Internal developer-platform capabilities.
+ AI-assisted development, testing, or documentation.
+ Strong written and verbal communication.
+ Experience partnering with security and governance teams.
+ Performance tuning and production-readiness ownership.
+ Vendor-integration or complex platform-integration experience.
Education: University degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
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 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.
IND01
\#LI-AS140
or continue with email
Toronto, ON
Contract
Hybrid with four days onsite and one day remote.
Duration: (12 Months)One-year contract
Schedule: Monday-Friday, core business hours; no overtime or travel.
Job Description
Client is seeking an Application Developer - Sr Python Engineer to support a project-based vendor integration initiative. The engineer will design and maintain secure, scalable Python microservices and APIs, connect platforms and data through REST/gRPC and event-driven patterns, and modernize data solutions across Azure Databricks, Delta Lake, ADLS, Azure Data Factory, Airflow, Azure SQL, Unity Catalog, and SQL. This role offers a long-term one-year contract, meaningful exposure to cloud-native engineering and data-platform modernization, and collaboration with experienced technology, platform, security, and business partners.
Experience: 10+ years of software engineering, including enterprise Python.
Responsibilities:
Application and platform engineering
+ Design, develop, test, document, and maintain secure Python microservices using Fast API.
+ Build RESTful, gRPC, internal platform, data-ingestion, event-driven, batch-processing, and authentication/authorization APIs.
+ Deploy and operate services using Docker and Kubernetes, with Redis and Kafka where appropriate.
+ Create reusable frameworks, automation, and orchestration patterns that improve delivery quality and reliability.
+ Translate complex requirements into practical, production-ready solutions with technology and business partners.
Data engineering and operational excellence
+ Build and optimize data solutions using Python, PySpark, Azure Databricks, Delta Lake, ADLS, Clienture Data Factory, Airflow, Clienture SQL, Unity Catalog, and SQL.
+ Troubleshoot production issues, tune performance, and support releases and readiness activities.
+ Implement testing, monitoring, authentication, authorization, compliance, and reliability practices.
+ Partner with security, platform, engineering, and business teams to deliver governed capabilities.
+ Contribute to knowledge transfer and technical documentation.
Required Skillsets
+ Python: Senior hands-on enterprise development.
+ Fast API: Production microservice development.
+ API design: REST/gRPC and multiple API patterns.
+ Docker/Kubernetes: Containerized deployment and orchestration.
+ Redis/Kafka: Caching, messaging, and event-driven architecture.
+ PySpark: Distributed data processing.
+ Azure data platform: Databricks, Delta Lake, ADLS, Data Factory, Azure SQL, and Unity Catalog.
+ Airflow/SQL: Workflow orchestration and relational querying.
+ Security and quality: Authentication, authorization, testing, monitoring, compliance, and reliability.
+ Enterprise delivery: Troubleshooting, release support, documentation, and cross-team execution.
Preferred Skillsets
+ High-volume enterprise services or pipelines.
+ Reusable internal frameworks and shared services.
+ Internal developer-platform capabilities.
+ AI-assisted development, testing, or documentation.
+ Strong written and verbal communication.
+ Experience partnering with security and governance teams.
+ Performance tuning and production-readiness ownership.
+ Vendor-integration or complex platform-integration experience.
Education: University degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
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 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.
IND01
\#LI-AS140
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
Similar jobs
Show more