About Life 360

Life360 brings families closer with smart tools designed to protect and connect the people who matter most.

Known for first-to-market solutions for modern family challenges, Life360 recently reached #1 in Apple’s US App Store’s list of free social networking apps. Nearly 1 in 10 US families with kids use Life360 an average of 12 times a day, and global membership is growing exponentially, with over 28 million active users in over 140 countries as of March 31, 2020 — making Life360 the largest mobile service for families in the world.

This reach gives us the opportunity to do unprecedented good for families through our valued core offerings: advanced location sharing, private messaging, driver monitoring, help alerts, 24/7 roadside assistance, and Crash Detection with emergency response. On average we respond to 1,000 roadside assists and dispatch 200+ ambulances each month to those in need. 

Offering both free and paid memberships. In addition, the company has raised over $200 million in equity financing, and recently completed an IPO on the ASX exchange — giving our employees the liquidity of a public company with the upside of a private growth stage business.

Life360’s rapidly growing team of 150+ employees is headquartered in San Francisco, with offices in San Diego, and Las Vegas. 

About our culture and benefits

Life360 has embraced a work from home (WFH) philosophy for at least the duration of the COVID-19 crisis, along with most of our peers. During this WFH period, the organization remains connected and engaged with virtual team events, weekly all hands meetings and regular open zoom sessions with leadership.  While we believe that the work world has likely permanently changed, we have yet to make any decisions about our long-term split between WFH and being in the office

 We always offer:

• Competitive pay and benefits
• Health, dental and vision insurance plans
• 401(k) plan
• $200/month Quality of Life perk
• Flexible PTO
• Free Life360 platinum membership for your family circle
• Whatever makes you stronger makes us stronger. We buy you the things you need to improve yourself and get your job done.

All open positions are remote opportunities and when the time comes to return to our offices, we offer the following:

• A great office with plenty of light in the heart of the SOMA district in beautiful San Francisco; a 5 minute walk to CalTrain
• An amazing office location within walking distance to the beach in Encinitas
• In person team building activities, celebratory company outings and fun events

POSITION SUMMARY

We are looking for a savvy Data Engineer to join our growing team. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional business and engineering teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

PRIMARY RESPONSIBILITIES

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

EXPERIENCE/QUALIFICATIONS 

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• 5+ years of experience in a Data Engineer role or equivalent engineering experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS(Certification preferred) cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

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