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$148,000 – $216,500
Listed on Life360’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Life360 is seeking a senior engineer to design and operate data pipelines processing billions of location and user events daily, supporting real-time analytics and machine learning at scale. This role suits engineers with deep cloud data warehouse expertise who are comfortable owning complex distributed systems and want to work in an AI-forward environment.
Our summary, not Life360’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Apache Airflow
- Databricks
- Dialectical Behavior Therapy (DBT)
- GitHub Actions
- Google BigQuery
- Microsoft Azure
- Presto
- Python
- Snowflake
- SPARK
- SQL
- Terraform
Log in to see which of these are already on your profile.
What they ask for
Required
- 5+ years working with high-volume data infrastructure
- Deep expertise with a modern cloud data warehouse or lakehouse platform (Databricks, Snowflake, BigQuery, or similar)
- Proficiency in Python and SQL with ability to write and optimize complex queries
- Hands-on experience with dbt and ownership of dbt models
- 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
- Experience leveraging LLMs for code generation and analysis with close attention to quality and testing
- Experience with modern data engineering tooling including orchestration, CI/CD, and infrastructure-as-code
- BS in Computer Science, Information Systems, Management Information Systems, Statistics, Mathematics, Data Science, or related quantitative field
Nice to have
- Experience with an experimentation framework
- Experience designing and maintaining real-time streaming architectures