[Hiring] Senior Data Engineer @Life360

Role Description

At Life360, we collect an enormous amount of data: billions of location points, user actions, and miles driven every month, and so much more. Our analysts, ad strategists, and sales team rely on that data to run campaigns, report performance, and close deals. The core datasets and pipelines behind that work are built and in production, and the demand for new datasets, metrics, and self-serve access is growing. As a Senior Ads Data Engineer, you will own that platform on Databricks:

• Making the existing pipelines faster, cheaper, and more reliable.
• Extending them as new questions come in.
• Working directly with the people who use the data.
• Keeping one agreed definition for each core metric so every team sees the same numbers.

Qualifications

• 5+ years of experience in data engineering building production data platforms at enterprise scale.
• Deep, hands-on expertise with Apache Spark (PySpark and/or Scala).
• Deep knowledge of the Databricks platform.
• Strong SQL and Python (or Scala) skills for pipeline development.
• Hands-on production experience with dbt.
• Hands-on experience with Terraform for managing cloud and data platform infrastructure.
• Strong experience with orchestration frameworks (Airflow, Databricks Workflows, or similar).
• Solid understanding of data modeling and experience building semantic layers.
• Experience using AI/LLM coding assistants.
• Strong business acumen and excellent communication skills.
• Familiarity with data governance and compliance requirements.
• Prior experience with advertising, ad tech, or media data is preferred.
• Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field.

Requirements

• Enhance, extend, and operate existing batch and streaming pipelines and Delta Lake tables on Databricks.
• Partner with business analysts, ad strategists, and the sales team to understand their questions.
• Build and maintain dbt models and tests for curated Silver/Gold datasets.
• Manage Databricks and AWS infrastructure as code with Terraform.
• Integrate and reconcile data from ad platforms, CRM, partner feeds, and internal systems.
• Implement data quality tests, monitoring, lineage, SLAs, and alerting.
• Tune Spark and Databricks workloads for performance and cost.
• Establish engineering best practices and mentor engineers.
• Apply data governance, privacy, and access controls across the platform.
• Enhance LLM development support capabilities.

Benefits

• Medical, dental, vision, life and disability insurance plans (100% paid for US employees).
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Paid parental leave.
• Mental Wellness Program & Employee Assistance Program (EAP).
• Generous time off: flexible PTO, companywide holidays, plus summer and winter shutdowns.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership and Tile trackers.