Staff Data Engineer

Life360; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

A leading tech company in the United States is seeking a Staff Data Engineer to enhance and modernize their data platform infrastructure. You will design and manage scalable data processing platforms, mentor junior engineers, and work with various stakeholders. This remote-first position requires 5+ years of experience in high volume data and proficiency in tools such as AWS and Databricks. The ideal candidate has a BS in Computer Science and strong communication skills. Competitive pay and comprehensive benefits are offered.

Benefits

Equity

Flexible PTO

Remote ergonomics support

Medical, dental, vision, life, and disability insurance plans

Qualifications

• Minimum 5+ years of experience working with high volume data infrastructure.
• Experience with Databricks, AWS, ETL and job orchestration tooling.
• Good communication skills and strong independent execution.

Responsibilities

• Design, implement, and manage scalable data processing platforms used for real-time analytics.
• Build and manage core data infrastructure from ingestion through ETL.
• Mentor junior engineers and foster growth within the team.

Skills

High volume data infrastructure

Python

Java

SQL

AWS

Databricks

Apache Spark

Data security

Data governance

Education

BS in Computer Science

Tools

AWS EMR

Kinesis

Kafka

Job description

Life360’s mission is to keep people close to the ones they love. Our category‑leading mobile app and Tile tracking devices 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 88 million monthly active users (MAU), as of June 2025 across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must‑have mobile‑based membership for families (and those friends that basically are family).

Life360 has more than 500 remote‑first employees. For more information, please visit life360.com.

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above.

About The Team

The Data Platform team’s purpose is to design, build, and maintain scalable and efficient data infrastructure that empowers Life360 teams to make data‑driven decisions. We transform raw data into reliable, accessible, and actionable insights, ensuring data quality, compliance, security, costs and performance at every step. By leveraging innovative technologies and best practices, we enable Product, Analytics and Partners to unlock the full potential of data, driving operational excellence and strategic growth.

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 Staff Data Engineer, you will contribute to enhancing and modernizing our data platform infrastructure towards a robust and secure data system. You should have a strong engineering background and even more importantly a desire to take ownership of our data systems to make them world class.

What You’ll Do

• Design, implement, and manage scalable data processing platforms used for real‑time analytics and exploratory data analysis.
• Build and manage our core data infrastructure from ingestion through ETL to storage and batch and real‑time processing utilizing the latest tools and tech in the industry.
• Automate, test and harden all data workflows.
• Architect logical and physical data models to ensure the needs of the business are met.
• Collaborate with multiple stakeholders like mobile app, cloud, product, data science and analytics teams, in recommendation and applying best practices.
• Architect and develop systems and algorithms for distributed real‑time analytics and data processing.
• Implement strategies for acquiring data to develop new insights.
• Mentor junior engineers, imparting best practices and institutionalizing efficient processes to foster growth and innovation within the team.

What We’re Looking For

• Minimum 5+ years of experience working with high volume data infrastructure.
• Experience with Databricks, AWS, ETL and job orchestration tooling.
• Extensive experience programming in one of the following languages: Python / Java.
• Experience in data security, data governance, data contracts, data quality, cost management, optimizing SQL queries, and system performance tuning.
• Proficient with SQL, AWS, Databases, Apache Spark, Spark Streaming, EMR, and Kinesis/Kafka.
• Knowledge and proficiency in the latest open source and data frameworks, lakehouse architecture, open table format, modern data platform tech stacks and tools.
• Always be learning and staying up to speed with the fast moving data world.
• Good communication skills and strong independent execution.
• BS in Computer Science, Software Engineering, Mathematics, or equivalent experience.
• Competitive pay and benefits, including medical, dental, vision, life, and disability insurance plans (100% paid for US employees).
• Equity, flexible PTO, 12 company‑wide days off, and remote ergonomics support.

Life360 Values

• Be a Good Person – We have a team of people with high integrity who 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.

As set forth in Life360’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.