Senior Analytics Engineer

Life360

Senior Analytics Engineer responsible for transforming data and supporting analytics initiatives. Working at Life360 to empower decision-making across various departments with actionable data models.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $148,000 - $218,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics engineering, data modeling, and building scalable data transformation pipelines using dbt and SQL. Proficient in collaborating with cross-functional teams to create data products that support advanced analytics and business decision-making.

Highest-signal resume keywords

Analytics EngineeringExpert-Level SQL SkillsExtensive Experience with dbtStrong Programming Skills in PythonUnderstanding of Data Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingDimensional ModelingQuery OptimizationData TransformationData Quality TestingVersion Control (Git)CI/CD ImplementationData Mart DevelopmentOrchestration FrameworksBusiness Requirements Translation

Soft Skills

Excellent Communication SkillsStrong Ownership MindsetCollaboration with StakeholdersProblem-SolvingPassion for Data Quality

Tools & Technologies

DatabricksDelta LakeSQL WarehousesAI/LLM Coding AssistantsBI Tools (Tableau, Looker, Mode)Cloud Data Warehouses (Snowflake, BigQuery, Redshift)

Certifications & Qualifications

Bachelor's Degree in Computer ScienceInformation Security

Industry Keywords

Advertising DataAd TechMedia DataData GovernanceGDPRCCPASOX

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPythonSQLTableauUnity

About the role

Key responsibilities & impact

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.
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.

Requirements

What you’ll need

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.
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.
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.
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.
Prior experience working with advertising, ad tech, or media data is preferred.
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 or equivalent experience in Computer Science, Information Security, or a related field.

Benefits

Comp & perks

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.