Senior Data Engineer II

Summary

Join Life360's Data and Analytics team as a Senior Data Engineer II and contribute to enhancing and maintaining our data processing and storage pipelines for a robust and secure data lakehouse. You will design, implement, and maintain scalable data processing platforms; manage various data types from ingestion to storage; automate, test, and harden data workflows; and architect logical and physical data models. Collaboration with analytics, data science, and platform teams is essential, applying data engineering best practices to build robust self-serve capabilities. You will also architect and develop systems for distributed near real-time analytics and implement data acquisition and transformation strategies. Champion data engineering best practices and foster growth and innovation within the team. This is a remote-first position with competitive pay and benefits.

Requirements

• Minimum of 5 years of experience working with high volume data infrastructure
• Must have deep experience with both Databricks and AWS cloud computing platforms
• Proficient programming in Python
• Proficiency with SQL and ability to optimize queries
• Experience with large-scale data processing frameworks
• Experience working with high volume event based data architecture
• Experience working with an experimentation framework
• Experience with MLOps tooling
• Experience with job orchestration tooling
• Experience with data ingestion frameworks
• Experience in data modeling and database design
• Experience with a data transformation framework
• Experience in modern development lifecycle
• Knowledge and proficiency in the latest open source and data frameworks, modern data platform tech stacks, and tools within the Databricks ecosystem
• Always 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

Responsibilities

• 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

Benefits

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