Senior Data Engineer II, AI Native

About the Company

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 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries. We deliver peace of mind and enhance everyday family life with seamless coordination for all the moments that matter.

Life360 is a remote-first company with over 500 employees. All positions, unless otherwise specified, can be performed remotely within the US and Canada.

About the Team

The Data & Analytics team is building Life360's next-generation data platform — powering real-time decision-making, experimentation, ML, and large-scale analytics. We operate at significant scale and complexity in a high-ambiguity environment, expecting engineers to own problems, drive clarity, and raise the bar across the org. You’ll join a collaborative team that communicates openly, celebrates wins together, and is committed to helping everyone do their best work.

About the Role

At Life360, we collect tens of billions of unique location points, user actions, and miles driven every month. As a Senior Data Engineer II, you will enhance and maintain our data processing and storage pipelines for a robust and secure data lakehouse. We seek someone with a strong engineering background and a genuine desire to take ownership and make our data systems world-class.

Responsibilities

• Design, build, and maintain scalable, distributed data pipelines and systems — from ingestion through ELT to storage — supporting streaming and batch processing for real-time analytics, ML, and experimentation.
• Automate, test, and harden data workflows to ensure reliability at scale.
• Architect logical and physical data models that meet evolving business needs.
• Build and maintain features for ML models.
• Collaborate with product, analytics, and data science teams to turn data into value.

Requirements

• 5+ years of experience working with high-volume data infrastructure.
• Deep expertise with a modern cloud data warehouse or lakehouse platform (Databricks preferred; Snowflake, BigQuery, or similar also considered) on a major cloud provider (AWS, GCP, or Azure).
• Proficient in Python and SQL, with the ability to write and optimize complex queries.
• Hands-on experience with dbt.
• Experience with large-scale data processing using Spark and/or Presto/Trino.
• Strong grasp of data modeling, partitioning strategies, storage formats, and analytical workload optimization.
• Hands-on experience leveraging LLMs for code generation, analysis, and related work — including reviewing AI-generated output with a close eye on quality, standards, and testing, and owning it as your own.
• Experience with modern data engineering tooling — orchestration (Airflow, Databricks Workflows), CI/CD (GitHub Actions), and infrastructure-as-code (Terraform, DABs).
• BS in Computer Science, Information Systems, Management Information Systems, Statistics, Mathematics, Data Science, Engineering (Computer, Electrical, or Software), or a related quantitative field.

AI-Native Expectations

The team leverages LLMs to support code generation, analysis, and other use cases. Your experience should include managing code generation with a focus on quality, standards, and testing — owning the outputs as your own. Proficiency with these tools will drive your velocity and effectiveness in our environment.

Nice to Have

• Experience working with an experimentation framework.
• Experience designing and maintaining real-time streaming architectures.

Pay

The US-based salary range for this position is $148,000 to $216,500. Base pay may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, financial, and other benefits, as well as equity.

Benefits

• 100% paid medical, dental, vision, life, and disability insurance for employees.
• Paid parental leave.
• 401(k) plan with company matching.
• Mental Wellness Program & Employee Assistance Program (EAP).
• Flexible PTO, companywide holidays, plus summer and winter shutdowns.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership and Tile trackers.

Company Values

• 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.

Diversity Commitment

We believe that different ideas, perspectives, and backgrounds create a stronger and more creative work environment. We strive to build an inclusive culture that encourages, supports, and celebrates diverse voices, fueling innovation and connecting us closer to our customers and communities. We are an equal opportunity employer and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any legally protected status.