Sr. Data Engineer II
TrueMLSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Mobile App & Device Tracking, Data & AnalyticsIndustries
Position Overview
- Location Type: Remote First
- Job Type: Full-time
- Salary:
- US: $142,000 - $209,000 USD
- Canada: 166,500 - 196,000 CAD (Note: Salary may vary based on location, knowledge, skills, and experience. Compensation includes medical, dental, vision, financial, and other benefits, as well as equity.)
Life360's mission is to keep people close to the ones they love through its category-leading mobile app and Tile tracking devices. Serving approximately 83 million monthly active users, Life360 provides location sharing, safe driver reports, and crash detection with emergency dispatch. The company has over 500 remote-first employees and is committed to innovation and enhancing everyday family life.
About the Team
The Data and Analytics team is seeking a passionate individual to advance the Databricks data lakehouse. The team focuses on designing and building high-impact data products using cutting-edge tools, prioritizing members over metrics. Team members are expected to become go-to experts for data products, demonstrating open-mindedness, collaboration, and strong communication skills. The team fosters a welcoming environment for growth and success.
About the Job
Life360 handles vast amounts of data, including billions of location points, user actions, and miles driven monthly. As a Senior Data Engineer II, you will be instrumental in enhancing and maintaining data processing and storage pipelines for a robust and secure data lake. This role requires a strong engineering background and a proactive approach to owning and improving data systems.
(Note for Canadian positions: The job title will be "Developer" instead of "Engineer".)
What You’ll Do
- Design, implement, and maintain scalable data processing platforms for real-time analytics and exploratory data analysis.
- Manage data from ingestion through ELT, storage, and batch processing.
- Automate, test, and harden all data workflows.
- Architect logical and physical data models to meet business needs.
- Collaborate with analytics and platform teams, applying best practices.
- Architect and develop systems and algorithms for distributed real-time analytics and data processing.
- Implement strategies for data acquisition and transformation to drive new insights.
- Champion data engineering best practices and institutionalize efficient processes to foster team growth and innovation.
What We’re Looking For
- Minimum of 5 years of experience working with high-volume data infrastructure.
- Deep experience with Databricks and AWS cloud computing platforms.
- Proficient programming in Python.
- Proficiency with SQL and ability to optimize queries.
Skills
Databricks
Data Lakehouse
Data Engineering
Data Products
Collaboration
Communication
Life360
Family safety services with location sharing
About Life360
Life360 offers family safety services through a mobile app that includes features like real-time location sharing, place alerts, and driver reports. These tools help families stay connected and informed about each other's whereabouts and driving habits. Unlike its competitors, Life360 focuses specifically on family-oriented services and has a large global user base, with over 25 million members in 13 languages. The company's goal is to enhance the safety and well-being of families through its subscription-based offerings.
San Francisco, CaliforniaHeadquarters
2008Year Founded
$114.9MTotal Funding
IPOCompany Stage
Consumer Software, CybersecurityIndustries
501-1,000Employees