AlayaCare is looking for a Staff Data Engineer to join our Data & Intelligence division. Reporting to the Director of Data Engineering, you will design and implement scalable, complex data pipelines and infrastructure to power our data products. As a senior member of the team, you’ll collaborate closely with data scientists, software engineers, and product managers to enhance the reliability and performance of our data systems, while influencing the enterprise-wide data architecture.

What You'll Do

Design, develop, and maintain scalable, cost-effective, and reliable data pipelines for structured and unstructured data.
Translate business needs into technical requirements and ensure alignment with product and customer success teams.
Architect and implement data storage solutions (data lakes, warehouses, real-time processing systems) and supporting cloud infrastructure.
Optimize pipelines for performance, scalability, cost-efficiency, and automation.
Ensure data quality, integrity, and security across all systems.
Evaluate and adopt new tools, technologies, and processes.
Partner with DevOps and engineering teams for seamless deployment, monitoring, and troubleshooting.
Document workflows and processes for knowledge sharing and maintainability.
Stay current on industry trends in data engineering, ML, and cloud computing.
Provide mentorship and technical leadership to junior engineers.

What We're Looking For

5+ years of hands-on experience with data software development.
Strong skills in DBT, SQL, Python, Snowflake, Iceberg, Spark, and AWS (ECS, S3, Aurora, RDS).
Experience with streaming technologies such as Kafka, Kinesis, and Flink.
Familiarity with Docker and Kubernetes.
Expertise in dimensional data modeling and semantic layer design.
Strong collaboration, communication, and problem-solving skills.
Experience in Agile development methodologies.
Mindset encouraging transparency, accountability, and trust.

Nice to Have

Experience with AlayaCare’s stack (Python, PHP, Vue.JS, AWS).
Bachelor’s or advanced degree in computer science, mathematics, or related fields.
Experience in healthcare, home health, or medical devices is an asset.
Familiarity with data governance concepts & tools is an asset.
Bilingual in French and English is an asset.

Technical Stack

Languages: Python, PHP, Vue.JS
Data Tools: DBT, SQL, Snowflake, Iceberg, Spark
AWS Services: ECS, S3, Aurora, RDS
Streaming: Kafka, Kinesis, Flink
Infrastructure: Docker, Kubernetes

Team & Environment

You will be part of the Data & Intelligence division, reporting directly to the Director of Data Engineering.

Benefits & Compensation

Equity in a well-funded, scaling company.
Comprehensive health benefits, telemedicine, and lifestyle spending accounts.
Parental leave top-up and family support programs.
Flexible vacation.
Volunteer time off.
Wellness Fridays.

Work Mode

This is a hybrid position based in Montreal.

Company Culture

Work With Purpose: Build technology that empowers care providers and improves outcomes for patients and families.

Grow in a High-Trust Culture: Transparency, feedback, and assuming positive intent.

Balance That Works for You: Flexibility and well-being.

Inclusive by Design: Celebrate diverse perspectives and foster belonging through DEIB initiatives.

We’re committed to creating a workplace where everyone belongs. If you require accommodation during the application process, please reach out to [email protected].