Staff Data Engineer

AlayaCare • Montreal, QC

59d • Hybrid

About The Position

We are seeking a Staff Data Developer 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. You will also mentor junior engineers and drive best practices in data engineering.

Requirements

• 5+ years of hands-on experience with data software development.
• Experience with AlayaCare’s stack (Python, PHP, Vue.JS, AWS).
• Bachelor’s or advanced degree in computer science, mathematics, or related fields.
• 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 Haves

• 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.

Responsibilities

• 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.

Benefits

• Equity in a well-funded, scaling company.
• Comprehensive health benefits, telemedicine, and lifestyle spending accounts.
• Parental leave top-up and family support programs.
• Inclusive by Design
• We celebrate diverse perspectives and foster belonging through our DEIB initiatives.
• Employee-led events, summits, and social activities, both in-person and virtual, create meaningful connections across our global teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level