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Senior Data Engineer - ETL & Integrations

Lasso Informatics Inc Lasso Informatique Inc
Montréal, QC

Quick apply

Job details

Full-time
$85,000–$125,000 a year

Qualifications

Data development experience
Performance tuning
Data modeling
Data integration
Azure
RESTful API
XML
Data quality assurance
Google Cloud Platform
Data and database experience
Java
SQL
Event-driven architecture
AWS
Docker
PostgreSQL
Distributed systems
Back-end development
JSON
Data validation
Python
Debugging
Pipeline

Full job description

Senior Data Engineer – ETL & Integrations

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.

Key Responsibilities

Design, build, and operate end-to-end ETL pipelines and data integrations
Develop BPMN-based workflows to model and manage complex process flows
Build integration services and transformation logic in Java and Python
Integrate internal and external systems using REST APIs, API gateways, and asynchronous messaging
Apply appropriate data transformation and loading strategies (batch and near-real-time)
Design and optimize PostgreSQL schemas, queries, indexes, and bulk loading mechanisms
Work with structured and semi-structured data formats (JSON, CSV, XML, Parquet, Avro)
Ensure data quality, consistency, and reliability through validation, deduplication, and idempotency
Monitor, troubleshoot, and optimize production ETL pipelines and integration services
Collaborate with engineering, product, and external partners on integration contracts and data models
Document ETL pipelines, workflows, schemas, and operational procedures

Required Skills & Experience

5+ years of experience in data engineering, ETL, or systems integration roles
Strong experience building and operating production ETL pipelines
Proficiency in Python and/or Java in backend or data-processing environments
Strong PostgreSQL and SQL experience, including performance tuning
Hands-on experience with data transformation and loading techniques (ETL vs ELT, incremental loads, CDC concepts)
Experience integrating systems via REST APIs and API gateways
Experience working with BPMN-based workflow engines or workflow modeling tools
Experience operating distributed systems in production environments
Strong troubleshooting, debugging, and operational mindset
Familiarity with common architectural patterns (e.g., layered architectures, event-driven systems, integration patterns)

Nice-to-Haves

Experience with specific BPMN workflow engines such as Camunda, Zeebe, or Flowable
Experience with event-driven architectures or message queues
Cloud platforms experience (AWS, GCP, or Azure)
Docker and Kubernetes experience
CI/CD pipelines for data or backend systems
Experience working in regulated or compliance-driven environments

What Lasso Offers

Competitive salary and benefits package
In-office work culture with required presence Tuesday through Thursday
Opportunities for leadership and professional growth
Collaborative team committed to innovation, quality, and scientific impact
Access to training resources and ongoing professional development

Quick apply

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