Staff Data Engineer

March 7

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Logo of Life360

Life360

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.

Family Networking β€’ Location Based Services β€’ Mobile β€’ Connected Home β€’ Connected Car

201 - 500 employees

Founded 2008

πŸ‘₯ B2C

πŸ“‘ Telecommunications

πŸ’° Post-IPO Equity on 2022-11

πŸ“‹ Description

β€’ Life360 collects a large amount of data, and as a Staff Data Engineer, you will enhance and maintain our data processing and storage workflows for a secure finance data lake. β€’ You will analyze existing processes and design new solutions utilizing cutting-edge tools to drive our data platform forward. β€’ Responsibilities include designing scalable data processing platforms for real-time analytics, managing financial data from ingestion to storage, automating data workflows, collaborating across teams, and mentoring junior engineers.

🎯 Requirements

β€’ Minimum 7 years of experience working with high volume data infrastructure. β€’ Experience with Databricks and AWS. β€’ Experience with dbt. β€’ Experience with job orchestration tooling like Airflow. β€’ Proficient programming in Python. β€’ Proficient with SQL and the ability to optimize complex queries. β€’ Proficient with large-scale data processing using Spark and/or Presto/Trino. β€’ Proficient in data modeling and database design. β€’ Experience with streaming data with a tool like Kinesis or Kafka. β€’ Experience working with high volume event based data architecture like Amplitude and Braze. β€’ Experience in modern development lifecycle including Agile methodology, CI/CD, automated deployments using Terraform, GitHub Actions, etc. β€’ Knowledge and proficiency in the latest open source and data frameworks, modern data platform tech stacks and tools. β€’ Always learning and staying up to speed with the fast moving data world. β€’ You have good communication and collaboration skills and can work independently. β€’ BS in Computer Science, Software Engineering, Mathematics, or equivalent experience.

πŸ–οΈ Benefits

β€’ Competitive pay and benefits β€’ Medical, dental, vision, life and disability insurance plans (100% paid for employees) β€’ 401(k) plan with company matching program β€’ Mental Wellness Program & Employee Assistance Program (EAP) for mental well being β€’ Flexible PTO, 13 company wide days off throughout the year β€’ Winter and Summer Week-long Synchronized Company Shutdowns β€’ Learning & Development programs β€’ Equipment, tools, and reimbursement support for a productive remote environment β€’ Free Life360 Platinum Membership for your preferred circle β€’ Free Tile Products

Apply Now

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πŸ‡ΊπŸ‡Έ United States – Remote

πŸ”₯ Funding within the last year

πŸ’° Series C on 2024-09

⏰ Full Time

πŸ”΄ Lead

🚰 Data Engineer

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