Senior Data Engineer II

Salary

• US: $142,000 - $209,000 USD
• Canada: 166,500 - 196,000 CAD
  • Note: Job title in Canada will be "Developer". Salary is dependent on location, experience, knowledge, and skills.

Employment Type

• Full-time

Location Type

• Remote-First

About Life360

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 83 million monthly active users (MAU) across more than 150 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 (and growing!) 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.

About the Team

The Data and Analytics team is looking for a high intensity individual who is passionate about driving our Databricks data lakehouse forward. Our mission is to envision, design, and build high impact data products with cutting edge tools while maintaining a commitment to putting our members before metrics. You will be expected to become the go-to member in our team for data products across various groups of the business. We want open-minded individuals that are highly collaborative and communicative. We work together and celebrate our wins as a team and are committed to building a welcoming team where everyone can perform their best.

About the Job

At Life360, we collect a lot of data: tens of billions of unique location points, tens of billions of user actions, billions of miles driven every single month, and so much more. As a Senior Data Engineer II, you will contribute to enhancing and maintaining our data processing and storage pipelines for a robust and secure data lakehouse. 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.

The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You’ll Do

Primary responsibilities include, but are not limited to:

• Design, implement, and maintain scalable data processing platforms used for near real-time analytics, ML pipelines, and exploratory data analysis.
• Manage our various types of data from ingestion through ELT to storage and both streaming and batch processing.
• Automate, test and harden all data workflows.
• Architect logical and physical data models to ensure the needs of the business are met.
• Build features for ML models.
• Collaborate with our analytics, data science, and platform teams, while applying data engineering best practices.
• Build robust self-serve capabilities for our data to enable reporting and visualization.
• Architect and develop systems and algorithms for distributed near real-time analytics and data processing.
• Implement strategies for acquiring and transforming our data to develop new insights.
• Champion data engineering best practices and institutionalizing efficient processes to foster growth and innovation within the team.

What We’re Looking For

• Minimum of 5 years of experience working with high volume data infrastructure