[Hiring] Senior Analytics Engineer II REMOTE USA
Position: Senior Analytics Engineer II
Date Posted: 19 February 2026
Industry: Technology / Data Analytics / Mobile Applications
Employment Type: Full Time (Remote First)
Experience: 5+ Years in analytics engineering, data modeling, or related roles
Qualification: Bachelor’s Degree in a technical field, or equivalent experience
Salary: $148,000 – $216,500 USD (US) / $171,000 – $201,000 CAD (Canada)
Location: United States (REMOTE)
Company: Life360
Description:
Life360 is a mission-driven technology company dedicated to helping families stay connected and safe. With tens of millions of monthly active users worldwide, the company delivers innovative mobile solutions including location sharing, driver safety insights, crash detection, and smart tracking devices. Operating as a Remote First organization, Life360 provides employees across the US and Canada with a flexible and supportive remote work environment.
The Data Platform Team plays a critical role in designing and maintaining scalable data infrastructure that enables business units to make informed, data-driven decisions. As a Senior Analytics Engineer II, you will transform vast volumes of raw data into reliable, structured datasets that power analytics, experimentation, reporting, and advanced modeling initiatives across Product, Marketing, Finance, and Operations.
Key Responsibilities:
- Design and develop scalable dimensional and relational data models for analytical use cases
- Build and optimize dbt transformation pipelines to ensure data quality, cost-efficiency, and performance
- Own curated dataset modeling (Silver/Gold layers) with clear traceability from raw to business-ready data
- Partner with analysts, data scientists, and business stakeholders to translate requirements into sustainable data products
- Implement data quality testing, monitoring, SLAs, and alerting systems
- Collaborate with Data Engineers to establish data contracts and maintain schema consistency
- Promote analytics engineering best practices including documentation, testing standards, version control, and peer reviews
- Enable self-service analytics by building well-structured data marts and semantic layers
Requirements:
- Minimum 5+ years of experience working with enterprise-scale data environments
- Advanced SQL expertise with strong query optimization skills
- Extensive hands-on experience with dbt, including testing and documentation
- Strong Python programming skills for automation and data workflows
- Deep knowledge of dimensional modeling techniques such as star schemas
- Experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift, or Databricks)
- Familiarity with orchestration frameworks and CI/CD practices using Git
- Understanding of data governance, privacy regulations (GDPR, CCPA, SOX), and BI tools like Tableau or Looker
- Strong communication skills and ability to translate technical insights for diverse audiences
Compensation & Benefits:
- Competitive salary aligned with market standards (US and Canada ranges provided above)
- Comprehensive medical, dental, vision, life, and disability insurance
- 401(k) with company match (US) / RRSP with DPSP (Canada)
- Flexible PTO and company-wide holidays
- Learning and development programs
- Equipment and reimbursement support for remote work
- Complimentary Life360 Platinum Membership
Life360 fosters a culture built on integrity, respect, collaboration, and high-impact performance. The organization is committed to diversity, equity, and inclusion, encouraging candidates from all backgrounds to apply—even if they do not meet every listed qualification.
Disclaimer: The job details above are structured for clarity and based on publicly available content from recruiters/Company pages. All rights remain with the original source; names may be withheld for confidentiality. We are not involved in the hiring process.
