[Hiring] Senior Data Engineer II @Life360

Role Description

At Life360, we collect a lot of data: tens of billions of unique location points, tens of billions of user actions, billions of miles driven every single month, and so much more. As a Senior Data Engineer II, you will enhance and maintain our data processing and storage pipelines for a robust and secure data lakehouse. We're looking for a strong engineering background — and just as important, a genuine desire to take ownership and make our data systems world class.

What You’ll Do

• Design, build, and maintain scalable, distributed data pipelines and systems — from ingestion through ELT to storage — supporting streaming and batch processing for real-time analytics, ML, and experimentation.
• Automate, test, and harden data workflows to ensure reliability at scale.
• Architect logical and physical data models that meet evolving business needs.
• Build and maintain features for ML models.
• Collaborate with product, analytics, and data science teams to turn data into value.

Qualifications

• 5+ years of experience working with high volume data infrastructure.
• Deep expertise with a modern cloud data warehouse or lakehouse platform (Databricks preferred; Snowflake, BigQuery, or similar also considered) on a major cloud provider (AWS, GCP, or Azure).
• Proficient in Python and SQL, with the ability to write and optimize complex queries.
• Hands-on experience with dbt.
• Experience with large-scale data processing using Spark and/or Presto/Trino.
• Strong grasp of data modeling, partitioning strategies, storage formats, and analytical workload optimization.
• Hands-on experience leveraging LLMs for code generation, analysis, and related work — including reviewing AI-generated output with a close eye on quality, standards, and testing, and owning it as your own.
• Experience with modern data engineering tooling — orchestration (Airflow, Databricks Workflows), CI/CD (GitHub Actions), and infrastructure-as-code (Terraform, DABs).
• BS in Computer Science, Information Systems, Management Information Systems, Statistics, Mathematics, Data Science, Engineering (Computer, Electrical, or Software), or a related quantitative field.

AI-Native Expectations

• The team leverages LLMs to support code generation, analysis, and other use cases.
• Your experience with AI / LLM usage should include managing code generation with a close eye on quality, standards, and testing — owning the outputs as your own.
• Your work with and ability to leverage these tools will drive your velocity and ability to effectively work within our environment.

Nice to Have

• Experience working with an experimentation framework.
• Experience designing and maintaining real-time streaming architectures.

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, 12 company-wide days off throughout the year.
• Winter and Summer Weeklong 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.