Life360

Life360

Senior Analytics Engineer

Remote, USA ; Remote, Canada · Senior

Sponsorship not specified$148k-$219kDetected 7 hours ago
PythonCode ReviewGitSQLBigQuerySnowflakeRedshiftDatabricksCI/CDdbtData EngineeringData ScienceData VisualizationLLMsAI OrchestrationA/B TestingComplianceAccountingControlsUnityCommunicationCollaboration

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • We transform raw data into reliable, accessible, and actionable insights, ensuring data quality, compliance, security, costs and performance at every step.
  • We help teams across the business unlock the full potential of their data, driving operational excellence and strategic growth.
  • 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.

Responsibilities

  • 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.
  • Partner with data engineering to build and maintain data pipelines and Delta Lake tables within Databricks, including basic ingestion, transformation, and orchestration work.
  • 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
  • Enhance our LLM development support capabilities - creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems.
  • Partner with Data Engineers to define and enforce data contracts, ensuring schema stability and minimizing downstream breakage
  • Empower self-service analytics by building intuitive, well-documented data marts and semantic layers
  • Within the first year in this role, the person hired will have built canonical gold and silver models for the reporting revamp and consolidation effort, serving as the source of truth across all business lines and products and reconciling cleanly against partner data.

Requirements

  • 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
  • Experience using AI/LLM coding assistants (for example, GitHub Copilot, Cursor, or Claude Code), with a disciplined approach to reviewing, testing, and owning generated code rather than accepting it at face value.
  • Extensive experience with dbt (data build tool) including testing, documentation, and package management
  • Strong understanding of dimensional modeling, star schemas, one big table, and other data modeling methodologies
  • 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
  • Familiarity with BI tools (Tableau, Looker, Mode, or similar) and how analysts consume data

Nice to have

  • Working knowledge of the Databricks platform, including SQL Warehouses, Delta Lake, and Unity Catalog
  • experience with other modern cloud data warehouses (Snowflake, BigQuery, or Redshift) is a plus and readily transferable.
  • Prior experience working with advertising, ad tech, or media data is preferred.

Compensation

  • For candidates based in the US, the salary range for this position is $148,000 to $218,500 USD.

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.
  • 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.

Company info

  • The Analytics Data Engineering team's purpose is to design, build, and maintain scalable and efficient data infrastructure that empowers Life360 teams to make data-driven decisions.
  • We also push the boundaries of how work gets done by adopting AI tools that accelerate our development and expand what we can deliver to stakeholders, so families get faster, more reliable experiences.
  • 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.
  • Beyond modeling and analytics engineering, you will take on some data engineering responsibilities, working directly within our Databricks-based platform to help build and maintain the pipelines that feed the datasets you model.
  • For candidates based in the US, the salary range for this position is $148,000 to $218,500 USD.
  • For candidates based out of Canada, the salary range for this position is 171,500 to $201,000 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.
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This listing is sourced directly from Life360's careers page and normalized into a canonical job model.