About the Job:
- Data ingestion suite - a mix of capabilities ranging from Fivetran to completely custom connectors that bring data into our warehouse and monitor for data quality.
- Data transformation suite - enhancing our dbt environment (dbt core) and the suite of tools that we leverage to build data models, semantic models, and other interfaces.
- Data egress suite - a mix of capabilities that allow us to push data to its end destinations.
What You’ll Do:
- Design and implement distributed data processing systems using Spark and Databricks on AWS.
- Proactively surface risks, dependencies, and tradeoffs before they impact delivery.
- Partner closely with the Analytics Engineers on the Finance Data Team to support high-quality downstream data modeling & reporting.
What We’re Looking For:
- Deep expertise with a cloud data platform (Databricks strongly preferred) and AWS from an infrastructure / services architecture, deployment, and ownership perspective.
- Strong proficiency in Python, SQL, and Spark for large-scale processing.
- Demonstrated experience with AI tools to support / enhance development - Claude Code, Cursor, etc.
Life360
Life360’s mission is to keep people close to the ones they love. They have a mobile app, tracking devices, and a pet GPS tracker. Life360 has more than 500 (and growing!) remote-first employees and delivers peace of mind and enhances everyday family life.