Sr Data Pipeline Engineer

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    "datePosted": "2026-04-29",
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    "description": "<br><br><span style=\"font-size: 12pt\">Summary</span><br><span style=\"font-size: 12pt\">Our core technology is proven; now, we are scaling. We build rugged, sensor-driven systems for high-voltage infrastructure where failure is not an option. We need a Senior Backend &amp; Data Infrastructure Engineer to architect and own the full data backbone of our platform—from edge ingestion to cloud processing to analytics readiness.</span><br><span style=\"font-size: 12pt\">You will design and build production-grade systems that ingest and process millions of data points from distributed field devices in real time. This role sits at the intersection of backend engineering, cloud infrastructure, and data engineering, ensuring our platform is scalable, secure, and reliable as we move from pilot to full fleet deployment.</span><br><br><span style=\"font-size: 12pt\">Key Responsibilities</span><br>\n<ul>\n<li><span style=\"font-size: 12pt\">Architect and build end-to-end data pipelines from edge devices through to cloud storage and analytics layers</span></li>\n<li><span style=\"font-size: 12pt\">Design and maintain scalable cloud infrastructure (AWS) to support high-volume, real-time data ingestion</span></li>\n<li><span style=\"font-size: 12pt\">Own backend systems including APIs, data flow orchestration, and service architecture</span></li>\n<li><span style=\"font-size: 12pt\">Build and manage multi-tenant systems, fleet management tooling, and device provisioning workflows</span></li>\n<li><span style=\"font-size: 12pt\">Implement robust data communication systems across constrained and distributed environments</span></li>\n<li><span style=\"font-size: 12pt\">Design for reliability at scale, handling millions of data points with low latency and high integrity</span></li>\n<li><span style=\"font-size: 12pt\">Lead security architecture across infrastructure, data pipelines, and device communication layers</span></li>\n<li><span style=\"font-size: 12pt\">Deploy and manage containerized services using Kubernetes</span></li>\n<li><span style=\"font-size: 12pt\">Work closely with data scientists to ensure clean, accessible, production-grade data pipelines</span></li>\n<li><span style=\"font-size: 12pt\">Contribute to system design across deployment software, backend services, and infrastructure</span></li>\n</ul>\n<br><br><span style=\"font-size: 12pt\">Required Qualifications</span><br>\n<ul>\n<li><span style=\"font-size: 12pt\">3+ years of solid experience building backend systems and data infrastructure from the ground up</span></li>\n<li><span style=\"font-size: 12pt\">Proven track record of architecting and scaling systems handling millions of data points</span></li>\n<li><span style=\"font-size: 12pt\">Strong experience with AWS (compute, storage, networking, and data services)</span></li>\n<li><span style=\"font-size: 12pt\">Hands-on experience with Kubernetes and containerized deployments</span></li>\n<li><span style=\"font-size: 12pt\">Deep understanding of distributed systems, data pipelines, and real-time data processing</span></li>\n<li><span style=\"font-size: 12pt\">Strong programming experience in C and/or C++</span></li>\n<li><span style=\"font-size: 12pt\">Experience designing secure systems across infrastructure, data flow, and communications</span></li>\n<li><span style=\"font-size: 12pt\">Experience building backend systems including APIs, provisioning systems, and fleet/device management</span></li>\n<li><span style=\"font-size: 12pt\">Strong understanding of data communications protocols and system-level data flow</span></li>\n<li><span style=\"font-size: 12pt\">Experience in a startup environment or as a founder/operator, with a bias toward ownership and execution</span></li>\n</ul>\n<br><span style=\"font-size: 12pt\">Preferred Qualifications</span><br>\n<ul>\n<li><span style=\"font-size: 12pt\">Experience working with IoT or sensor-based systems at scale</span></li>\n<li><span style=\"font-size: 12pt\">Familiarity with edge-to-cloud architectures and constrained network environments</span></li>\n<li><span style=\"font-size: 12pt\">Experience with multi-tenant SaaS platforms and data isolation strategies</span></li>\n<li><span style=\"font-size: 12pt\">Background in high-reliability or industrial systems (energy, utilities, telecom, etc.)</span></li>\n<li><span style=\"font-size: 12pt\">Exposure to data platforms supporting machine learning workflows</span></li>\n<li><span style=\"font-size: 12pt\">Experience designing systems for observability, monitoring, and fault tolerance<br></span></li>\n<li><span style=\"font-size: 12pt\">Must be in Canada </span></li>\n</ul>\n<br><br><span style=\"font-size: 12pt\">Why Join Us</span><br><span style=\"font-size: 12pt\">You’ll work on technically demanding systems deployed directly on critical electrical infrastructure, where engineering decisions have real-world consequences. Our platform processes real-time signals from the grid to detect early signs of failure, helping prevent outages and reduce wildfire risk.</span><br><span style=\"font-size: 12pt\">This role offers full ownership of the system backbone, from how data is captured and transmitted to how it is structured and delivered for insight. You’ll be building foundational infrastructure that scales with the company, working closely with senior technical leadership in an environment that values first-principles thinking, speed, and accountability. </span>\n<br><span style=\"font-size: 12pt\">You won’t just maintain systems, you’ll define them.</span><br><br><span style=\"font-size: 12pt\">Bonus:</span><br><span style=\"font-size: 12pt\">Additionally everyone in the company receives 5 weeks vacation plus a mandatory Christmas shut down.  Remote is fine for this role but we would expect occasional travel for company quarterlies and planning! (Hint - if you really want to stand out, include a cover letter and make it authentic.  We read every single one and have hired people based on their cover letters alone)</span><br>",
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