Staff Data Engineer

Life360
Remote, USA; Remote, Canada$190k – $281kPosted 9 March 2026

Job Description

About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com . Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. About The Team The Data Analytics team is building the next generation of our data platform to power real-time decision-making, experimentation, ML, and large-scale analytics at Life360. We operate at significant scale and complexity in a high-ambiguity environment and expect engineers to take ownership, drive clarity, and raise standards across the organization. We are hiring a bar-raising Staff Data Engineer who doesn’t just improve systems, but defines how we build them. This role requires someone who can step into ambiguity, make sound architectural decisions, eliminate operational fragility, and establish an engineering discipline that others adopt. You will serve as a technical reference point for the data platform — shaping standards, influencing cross-team architecture, and driving initiatives to clear, production-ready outcomes. We value engineers who are direct, collaborative, and proactive in surfacing risks early, while helping build a team culture where high standards and psychological safety coexist. About the Job At Life360, we collect a lot of data: 60 billion unique location points, 12 billion user actions, 8 billion miles driven every single month, and so much more. Our data platform must be resilient, observable, cost-efficient, and designed for long-term scalability. As a Staff Data Engineer, you will drive the evolution of our data architecture — not just maintain it. You will: Identify structural weaknesses and eliminate operational fragility. Define clear ingestion, validation, and testing standards across the platform. Drive ambiguous initiatives from concept to production-ready outcomes. Produce decisive technical artifacts and recommendations that enable leadership decisions. Raise the engineering bar across CI/CD, observability, cost efficiency, and documentation discipline. We are looking for someone with strong engineering depth who demonstrates ownership, decisiveness, and the ability to elevate both the system and the team around them. For candidates based in the US, the salary range for this position is $190,000 to $280,500 USD. For candidates based out of Canada, the salary range for this position is $220,000 to $260,000 CAD. We take into consideration an individual's background and experience in determining final salary; therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. What You’ll Do Architect and evolve scalable, cost-efficient data platforms for real-time and batch analytics. Own data systems end-to-end — ingestion, streaming, transformation, storage, and serving. Design and implement distributed data processing ... (truncated, view full listing at source)
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