Staff Data Engineer

July 28

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Life360

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B2C • Safety • Telecommunications

Life360 is a leading family safety app that offers a comprehensive suite of services for location and digital safety. With Life360, users can effortlessly share their location, track their phones, and manage driving safety measures, including crash detection and 24/7 roadside assistance. The app includes features for digital safety, such as identity theft protection and SOS alerts, ensuring protection and prevention for each family member. Life360's plans, which include free, Gold, and Platinum options, are designed to accommodate various needs, offering peace of mind with advanced safety and coordination tools. The app is trusted by millions of users and is highly rated on app stores for its efficiency and reliability in connecting family members and ensuring their safety.

201 - 500 employees

Founded 2008

👥 B2C

📡 Telecommunications

💰 Post-IPO Equity on 2022-11

📋 Description

• Contribute to enhancing and modernizing our data platform infrastructure towards a robust and secure data system. • 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 stake holders 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

🎯 Requirements

• 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. • You are proficient with SQL, AWS, Databases, Apache Spark, Spark Streaming, EMR, and Kinesis/Kafka • Experience in modern data engineering SDLC including Agile methodology, CI/CD, automated deployments using Terraform, GitHub Actions etc. • 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. • You have good communication skills and can work independently • BS in Computer Science, Software Engineering, Mathematics, or equivalent experience

🏖️ Benefits

• Competitive pay and benefits • Medical, dental, vision, life, and disability insurance plans (100% paid for US employees). We offer supplemental medical and dental plans for Canadian employees. • RRSP plan with DPSP company matching program • Employee Assistance Program (EAP) for mental wellness. • Flexible PTO and 12 company-wide days off throughout the year • Learning & Development programs • Equipment, tools, and reimbursement support for a productive remote environment • Free Life360 Platinum Membership for your preferred circle