Senior Software Developer - ETL JP241

Pathlion; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

Pathlion in Toronto is seeking a Senior Software Developer - ETL to design, build, and maintain scalable data pipelines and integration services that support enterprise AI, analytics, and data initiatives. You will work with Data Architects, AI/ML Engineers, and product teams to translate data requirements into production-ready solutions, while improving data access and onboarding new data sources.

The role emphasizes building reusable pipelines, ensuring scalability, reliability, and data

Responsibilities

• Design, develop, test, and maintain ETL/ELT pipelines and data integration solutions across enterprise data sources.
• Build reusable data pipelines, services, and integration components that support multiple AI and analytics use cases.
• Ingest, transform, and prepare structured and unstructured data for analytics, AI, and machine learning workloads.
• Implement data architecture, modelling, and integration patterns established by enterprise architecture.
• Integrate data across cloud platforms, databases, applications, APIs, and enterprise systems.
• Design solutions that support scalability, reliability, performance, monitoring, and maintainability.
• Implement data quality and validation controls to improve the reliability of data provided to downstream consumers.
• Work with Data Architects, AI/ML Engineers, Data Scientists, product teams, and business stakeholders to translate data requirements into production-ready solutions.
• Optimize existing pipelines and integration processes to reduce duplication and accelerate onboarding of new data sources.
• Support deployment, troubleshooting, documentation, and ongoing improvement of enterprise data solutions.

Skills

ETL pipelines

Data integration

Reusable pipelines

Data quality controls

Cloud data platforms

Job description

The Senior Software Developer - ETL will design, build, and maintain scalable data pipelines, integrations, and reusable data services that enable enterprise AI, analytics, and data initiatives.

The role will help improve access to trusted data across enterprise systems, operationalize data architecture and integration patterns, and reduce the time and effort required to onboard data for new AI and analytics use cases.

Key Responsibilities

• Design, develop, test, and maintain ETL/ELT pipelines and data integration solutions across enterprise data sources.
• Build reusable data pipelines, services, and integration components that can support multiple AI and analytics use cases.
• Ingest, transform, and prepare structured and unstructured data for analytics, AI, and machine learning workloads.
• Implement data architecture, modelling, and integration patterns established by enterprise architecture.
• Integrate data across cloud platforms, databases, applications, APIs, and enterprise systems.
• Design solutions that support scalability, reliability, performance, monitoring, and maintainability.
• Implement data quality and validation controls to improve the reliability of data provided to downstream consumers.
• Work with Data Architects, AI/ML Engineers, Data Scientists, product teams, and business stakeholders to translate data requirements into production-ready solutions.
• Optimize existing pipelines and integration processes to reduce duplication and accelerate onboarding of new data sources.
• Support deployment, troubleshooting, documentation, and ongoing improvement of enterprise data solutions.