Senior Analytics Engineer II

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 and Canada) regardless of any specified location above. 

About The Team

The Data Platform team's purpose is to design, build, and maintain scalable and efficient data infrastructure that empowers Life360 teams to make data-driven decisions. We transform raw data into reliable, accessible, and actionable insights, ensuring data quality, compliance, security, costs and performance at every step. By leveraging innovative technologies and best practices, we enable Product, Analytics, and Partners to unlock the full potential of data, driving operational excellence and strategic growth.

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. As a Senior Analytics Engineer, you will be responsible for transforming this wealth of data into trusted, well-modeled datasets that power analytics, reporting, and data science initiatives across the organization. You should have a strong foundation in data modeling, SQL, and Python, deep understanding of business metrics, and a passion for making data accessible and understandable to stakeholders at all levels. 

For candidates based in the US, the salary range for this position is $148,000 to $216,500 USD. For candidates based out of Canada, the salary range for this position is $171,000 to $201,000 CAD. Note: Please be aware that the job title for positions in Canada will be "Developer" in lieu of "Engineer." 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

Primary responsibilities include, but are not limited to:

• Design and implement robust dimensional and relational data models that support analytical use cases across Product, Marketing, Operations, and Finance
• Build and maintain scalable dbt transformation pipelines, ensuring high data quality, performance, and cost-efficiency from raw ingestion to business-ready outputs
• Own the transformation and modeling of curated (Silver/Gold) datasets, ensuring clear contracts and traceability from raw to business-ready data.
• Collaborate with data analysts, product analytics, data scientists, and business stakeholders to translate requirements into durable data products that support experimentation, A/B testing, and advanced analytics
• Implement data quality tests, monitoring, SLAs, and alerting to ensure reliability of critical analytical datasets
• Partner with Data Engineers to define and enforce data contracts, ensuring schema stability and minimizing downstream breakage
• Establish and evangelize analytics engineering best practices, including version control, code review, testing standards, and documentation
• Empower self-service analytics by building intuitive, well-documented data marts and semantic layers

What We’re Looking For

• Minimum 5+ years of experience in analytics engineering, data modeling, or similar roles working with enterprise-scale data, and demonstrated ownership of data products and cross-functional collaboration
• Expert-level SQL skills with deep understanding of query optimization and performance tuning
• Extensive experience with dbt (data build tool) including testing, documentation, and package management
• Strong programming skills in Python for data manipulation, automation, and custom analytics workflows
• Strong understanding of dimensional modeling, star schemas, one big table, and other data modeling methodologies
• Experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift, or Databricks SQL Warehouse)
• Familiarity with orchestration frameworks and how analytics transformations are scheduled within broader data workflows 
• Experience working with version control systems (Git) and implementing CI/CD for analytics code
• Strong business acumen and ability to translate business requirements into well-designed data models
• Understanding of data governance, privacy, and compliance requirements (GDPR, CCPA, and SOX) 
• Familiarity with BI tools (Tableau, Looker, Mode, or similar) and how analysts consume data
• Strong ownership mindset with a passion for deeply understanding ambiguous business problems and translating them into clean, maintainable, and well-tested data models.
• Excellent communication skills with ability to explain technical concepts to both technical and non-technical audiences
• Dedication to data quality, documentation, and empowering others through self-service analytics
• Bachelor’s Degree in a technical field, or equivalent experience

Our Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.

Life360 Values

Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference 

• Be a Good Person - We have a team of high integrity people you can trust. 
• Be Direct With Respect - We communicate directly, even when it’s hard.
• Members Before Metrics - We focus on building an exceptional experience for families. 
• High Intensity High Impact - We do whatever it takes to get the job done. 

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.  

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote

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