Senior Data Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, develop, and advance CloudBlue’s data and analytics platform.

• Construct and sustain a high-volume, high-performance data fabric, encompassing real-time ingestion, data pipelines, storage, and analytics.

• Take ownership of features from technical design and implementation to testing and production.

• Propel AI adoption across the platform by creating AI-driven workflows and capabilities.

• Design and implement APIs that connect data, services, and business workflows throughout the CloudBlue ecosystem.

• Collaborate closely with engineers in small, cross-functional feature teams.

• Partner with Product Managers and other CloudBlue teams to convert business requirements into scalable technical solutions.

• Ensure data quality, reliability, observability, and performance throughout production pipelines.

• Work alongside the Engineering Manager to support professional growth and career development.

• Assist with additional tasks or projects as assigned to fulfill team and business requirements.

⛳️ Requirements

• Proven professional experience in software engineering, with a strong foundation in developing data-intensive systems.

• Extensive background in building data pipelines and data models, including handling production-scale data workloads.

• Practical experience with Python programming.

• Strong proficiency in event-streaming technologies such as Kafka, NATS, Flink, or similar; experience in streaming is crucial.

• Familiarity with cloud-native infrastructure like Azure, AWS, or GCP.

• Experience with containerized workloads utilizing Docker and Kubernetes.

• In-depth understanding of data contracts, data quality, pipeline observability, and production SLOs.

• Practical experience with AI-assisted development tools and a genuine interest in applying AI to engineering challenges and development processes.

• Strong competence in designing and integrating APIs.

• Solid knowledge of PostgreSQL and relational databases.

• Experience with unit and end-to-end testing, ensuring the development of reliable, production-ready systems.

• Professional proficiency in English.

• Familiarity with billing, finance, or usage-based/metered monetization is advantageous.

• Exposure to integrating LLMs or AI services, such as RAG, MCP, agent runtimes, Anthropic/OpenAI APIs, or similar technologies, is a plus.

• Experience with modern lakehouse or data federation patterns, like Iceberg, Trino, or similar technologies, would be beneficial.

• Candidates should be prepared to respond to inquiries regarding production real-time streaming pipelines and AI engineering experience.

• Willingness to engage in standard candidate verification procedures, where allowed by applicable law.

• Acknowledgment that employment history and application details may be verified.

• This position is expected to be carried out outside of Ontario.

🏝️ Benefits

• Competitive compensation, aligned with the markets from which we recruit.

• Opportunities for growth, with genuine ownership of your work and support for professional development.

• Flexibility in your working hours and methods, within the core hours required by your team.

• Access to the AI tools necessary for your tasks, along with the freedom to experiment with them.

• Remote-first working environment.

• Equal-opportunity employer.

• Accommodations for individuals with disabilities at every stage of the hiring process.