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.

• 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.
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Optimize pipelines for performance, scalability, cost-efficiency, and automation.
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Ensure data quality, integrity, and security across all systems.
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Evaluate and adopt new tools, technologies, and processes.
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Partner with DevOps and engineering teams for seamless deployment, monitoring, and troubleshooting.
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Document workflows and processes for knowledge sharing and maintainability.
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Stay current on industry trends in data engineering, ML, and cloud computing.
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Provide mentorship and technical leadership to junior engineers.

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5+ years of hands-on experience with data software development.
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Experience with AlayaCare’s stack (Python, PHP, Vue.JS, AWS).
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Bachelor’s or advanced degree in computer science, mathematics, or related fields.
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Strong skills in DBT, SQL, Python, Snowflake, Iceberg, Spark, and AWS (ECS, S3, Aurora, RDS).
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Experience with streaming technologies such as Kafka, Kinesis, and Flink.
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Familiarity with Docker and Kubernetes.
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Expertise in dimensional data modeling and semantic layer design.
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Strong collaboration, communication, and problem-solving skills.
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Experience in Agile development methodologies.
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Mindset encouraging transparency, accountability, and trust.

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Experience in healthcare, home health, or medical devices.
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Familiarity with data governance concepts & tools.
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Bilingual in French and English.