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Senior Data Engineer - ETL & Integrations
Lasso Informatics
Montréal, CAN
Full-time
Senior · 5+ years experience
Hybrid
CAD 85000-125000 yearly / year
Discovered 3 weeks ago
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Role Overview
This is a senior-level data engineering and systems integration role focused on building and operating production-grade ETL pipelines and integrations. You will work across data ingestion, transformation, and loading while leveraging a BPMN-based workflow engine to model and manage process flows where appropriate. The role sits at the intersection of data engineering, backend development, and workflow-driven systems, with a clear distinction between ETL responsibilities and workflow orchestration capabilities.
Key Skills for This Role
BPMNJavaPythonPostgreSQLSQLJSON
Full Job Posting
About Lasso Informatics
Lasso Informatics is a SaaS start-up with a live research data management and analysis platform that brings together multi-modal (imaging, genetics, behavioral, and biosample) data for large-scale studies. Thousands of researchers across the globe rely on our platform today, and we are rapidly iterating and improving to push the boundaries of what is possible in research data management.
We live to innovate, and empower scientists to focus on the science, not the technology, leading to a faster time to science and cure.
Our team is incredibly diverse both by background and expertise, and that is not by accident. We believe that the most creative and powerful solutions come from different ways of thinking about the world. You will be working in an inspiring ecosystem alongside world-renowned professionals in medicine, physics, engineering, imaging, epidemiology, software development, and genetics. We thrive on empowering our colleagues to be thought leaders and innovate fresh new solutions for an exciting and rapidly changing field.
About the Role
This is a senior-level data engineering and systems integration role focused on building and operating production-grade ETL pipelines and integrations. You will work across data ingestion, transformation, and loading while leveraging a BPMN-based workflow engine to model and manage process flows where appropriate. The role sits at the intersection of data engineering, backend development, and workflow-driven systems, with a clear distinction between ETL responsibilities and workflow orchestration capabilities.
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