Remote Staff Data Engineer

Summary

Join our extraordinary team at ecobee, a rapidly growing global tech company headquartered in Canada, as we build the world of tomorrow with solutions that improve everyday life while making a positive impact on the planet. We're looking for a talented and passionate individual to join our dynamic data engineering and machine learning services group.

Responsibilities

• Lead the design and implementation of scalable data pipelines and systems for complex problems that require detailed understanding across multiple domains
• Contribute to ecobee's system architecture with designs that have been battle-tested, resulting in significant, long-lasting impact within a specific domain
• Start to think beyond individual components or domains, considering ecobee's broader architectural strategy
• Propose technical solutions and strategies that have a significant impact on ecobee's data ecosystem
• Take end-to-end ownership of full components within your domain of expertise, ensuring that their design, implementation, testing, deployment, and operations meet high standards
• Define and track SLAs for the components you own, ensuring they meet operational excellence standards and contribute to the system's overall reliability
• Maintainability & Scalability: Systematically consider maintainability in designs and implementations, with a focus on ensuring systems can scale to support ecobee's growing data needs
• Mentor & Lead: Actively mentor engineers across the organization, helping them achieve concrete technical and professional goals
• Cross-Team Collaboration: Facilitate and guide technical discussions across squads, ensuring decisions are aligned with ecobee's strategic goals
• Technical Expertise Development: Participate in 'bar-raiser' groups that focus on elevating engineering standards across ecobee, including leading post-mortem reviews, design sessions, and code reviews
• Challenging Best Practices: Continuously review existing processes, best practices, and rituals across ecobee's engineering organization
• Delivery Metrics & Quality: Educate teams on key software delivery metrics and help track progress
• Documentation & Knowledge Sharing: Foster a culture of documentation and transparency within the team and across stakeholders
• Forward-Thinking Design: Anticipate future data challenges, such as scalability and security concerns, and propose strategies to avoid roadblocks
• Technology Evaluation: Stay ahead of industry trends by evaluating and recommending new technologies that align with ecobee's goals in data engineering, machine learning, and IoT
• Domain-Wide Impact: Your work will have a measurable impact across multiple teams within the Data Engineering & Machine Learning Services group
• Economic Thinking & Risk Management: Drive a culture of thoughtful decision-making, balancing technical innovation with practical constraints like time, cost, and risk
• Proactive Issue Resolution: Anticipate blockers and delays in projects before they require escalation