Data Engineer, Sr. - Fully Remote
About the Company
Life360’s mission is to keep people close to the ones they love. Its mobile app, Tile tracking devices, and Pet GPS help people protect the people, pets, and belongings that matter most through services such as location sharing, safe driver reports, and crash detection with emergency dispatch. As of March 31, 2026, Life360 serves approximately 97.8 million monthly active users across more than 180 countries. The company has more than 500 employees and operates as a remote-first organization. Life360 is also building an AI-native workplace, integrating AI into how its teams develop products and operate. The company encourages employees to use AI tools responsibly and effectively as part of their work.
About the Role
Life360 is seeking a Senior Data Engineer II, AI Native to help build and maintain the data infrastructure behind its next-generation data platform. The role focuses on scalable data pipelines, secure data storage, and processing systems that support real-time analytics, machine learning, and experimentation. You will work with high-volume datasets and take ownership of data engineering projects from design through implementation and maintenance. Working closely with product, analytics, and data science teams, you will help improve data reliability, optimize performance, and build data products that support business decisions. The role also involves using large language models (LLMs) to accelerate development while maintaining responsibility for code quality, testing, and engineering standards.
Key Responsibilities
Design, build, and maintain scalable, distributed data pipelines and systems, covering ingestion, ELT processing, and storage. Support both streaming and batch processing for real-time analytics, machine learning, and experimentation. Automate, test, and strengthen data workflows to maintain reliability at scale. Design logical and physical data models that support changing business requirements. Build and maintain features used by machine learning models. Collaborate with product, analytics, and data science teams to turn data into practical business value. Use LLMs for code generation, analysis, and related engineering tasks while reviewing outputs for quality, standards, and test coverage. Take ownership of AI-generated code and ensure it meets the same engineering expectations as other production code.
Required Qualifications
At least 5 years of experience working with high-volume data infrastructure. Strong expertise in a modern cloud data warehouse or lakehouse platform, preferably Databricks. Snowflake, BigQuery, or similar platforms are also considered. Experience working with a major cloud provider, such as AWS, Google Cloud Platform (GCP), or Azure. Proficiency in Python and SQL, including writing and optimizing complex queries. Hands-on experience with dbt. Experience with large-scale data processing using Spark and/or Presto/Trino. Strong understanding of data modeling, partitioning strategies, storage formats, and analytical workload optimization. Experience using LLMs for code generation, analysis, and related tasks, with the ability to review, test, and take ownership of AI-generated output. Experience with modern data engineering tools, including workflow orchestration platforms such as Airflow or Databricks Workflows, CI/CD tools such as GitHub Actions, and infrastructure-as-code tools such as Terraform or DABs. Bachelor’s degree in Computer Science, Information Systems, Management Information Systems, Statistics, Mathematics, Data Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related quantitative field. AI-Native Expectations Life360’s Data & Analytics team uses LLMs to support code generation, analysis, and other engineering tasks. Candidates should be able to use these tools effectively while maintaining close oversight of code quality, engineering standards, and testing. Engineers are expected to take full ownership of AI-assisted work and use these tools to improve development speed and effectiveness. AI tool usage may vary during the interview process. Candidates may be asked to demonstrate their proficiency with AI tools, explain how they use AI, or complete interview exercises without AI assistance. Recruiters will provide guidance during the process. Undisclosed AI use that has not been discussed with or approved by the recruiter may affect a candidate’s application.
Preferred Qualifications
Experience working with an experimentation framework. Experience designing and maintaining real-time streaming architectures. Salary & Benefits The US-based salary range for this position is $148,000–$216,500. Final base pay may vary based on geographic location, relevant knowledge, skills, experience, and professional background. The compensation package also includes equity and a range of additional benefits. Benefits include: Competitive compensation and benefits. Medical, dental, vision, life, and disability insurance, with premiums fully paid for employees. 401(k) plan with company matching. Mental Wellness Program and Employee Assistance Program (EAP). Flexible paid time off and 12 company-wide days off throughout the year. Winter and summer weeklong synchronized company shutdowns. Learning and development programs. Equipment, tools, and reimbursement support for working remotely. Free Life360 Platinum Membership for a preferred circle. Free Tile products. Location and Work Arrangement This is a remote-first position. Life360 positions can be performed remotely within the United States and Canada unless otherwise specified. Life360 Values Life360’s culture is guided by the following values: Be a Good Person: Work with integrity and build relationships based on trust. Be Direct With Respect: Communicate openly and honestly, including when conversations are difficult. Members Before Metrics: Prioritize an exceptional experience for families. High Intensity, High Impact: Take ownership and do what is needed to get the job done. Equal Opportunity Employer Life360 is committed to building an inclusive workplace where different ideas, perspectives, and backgrounds are valued. The company aims to create an environment where employees can bring their authentic selves to work and contribute to products that serve diverse communities. Life360 is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status. Candidates from all backgrounds are encouraged to apply. Applicants who do not meet every listed qualification are still encouraged to consider the role.