Senior Data Engineer

🔥 21 hours ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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HostPapa

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51 - 200 employees

Founded 2006

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

HostPapa is a web hosting company that provides a variety of hosting solutions including shared web hosting, WordPress hosting, VPS hosting, and reseller hosting. They also offer additional services such as domain registration, website building tools, business email services, and security features like SSL certificates. HostPapa prides itself on its 24/7 award-winning customer support available globally, ensuring that customers receive assistance in their preferred language and timezone. With a focus on small businesses, HostPapa aims to empower customers to achieve their online goals with reliable and high-performance hosting services.

📋 Description

• Design, build, and evolve CloudBlue’s data and analytics platform • Build and maintain a high-volume, high-performance data fabric, including real-time ingestion, data pipelines, storage, and analytics • Own features end to end, from technical design and implementation through testing and production • Drive AI adoption across the platform and develop AI-powered workflows and capabilities • Design and integrate APIs connecting data, services, and business workflows across the CloudBlue ecosystem • Work closely with engineers in small, cross-functional feature teams • Collaborate with Product Managers and other CloudBlue teams to translate business needs into scalable technical solutions • Ensure data quality, reliability, observability, and performance across production pipelines • Partner with the Engineering Manager on professional growth and career development • Support other tasks or projects as assigned to meet team and business needs

🎯 Requirements

• Strong professional software engineering experience, with a solid background in building data-intensive systems • Extensive experience building data pipelines and data models, including production-scale data workloads • Hands-on experience with Python • Strong expertise with event-streaming technologies such as Kafka, NATS, Flink, or similar; streaming experience is essential • Experience with cloud-native infrastructure such as Azure, AWS, or GCP • Experience with containerized workloads using Docker and Kubernetes • Solid understanding of data contracts, data quality, pipeline observability, and production SLOs • Hands-on experience with AI-assisted development tools and genuine interest in applying AI to engineering problems and development workflows • Strong experience designing and integrating APIs • Solid knowledge of PostgreSQL and relational databases • Experience with unit and end-to-end testing and building reliable, production-ready systems • Professional working proficiency in English • Familiarity with billing, finance, or usage-based/metered monetization is a plus • Exposure to integrating LLMs or AI services, such as RAG, MCP, agent runtimes, Anthropic/OpenAI APIs, or similar technologies, is an advantage • Experience with modern lakehouse or data federation patterns, such as Iceberg, Trino, or similar technologies, would be beneficial • Candidates must respond to questions about production real-time streaming pipelines and AI engineering experience • Willingness to participate in standard candidate verification steps, where permitted by applicable law • Acknowledgment that employment history and application information may be verified • The position is anticipated to be performed outside of Ontario

🏖️ Benefits

• Competitive pay, benchmarked against the markets we hire in • Room to grow, with real ownership of your work and support for professional development • Flexibility in how and when you work, within the core hours your team needs • Access to the AI tools you need to do your work, and the room to experiment with them • Remote-first work • Equal-opportunity employer • Accommodations for people with disabilities at every stage of the hiring process

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