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 talentacquisitionteam@alayacare.com.
