Senior Data Engineer II — AI-Native Data Platform

Life360

United States

Remote

USD 148,000 - 217,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision insurance
401(k) with company matching
Mental Wellness Program
Flexible PTO
Remote-first / Remote-friendly

Job summary

Life360, a remote-first company, is seeking a Senior Data Engineer II to enhance and maintain data pipelines and a secure data lakehouse. You will own data infrastructure, enabling real-time analytics, ML, and experimentation at scale.

We value ownership, strong engineering fundamentals, and collaboration with product and data science teams. Flexible remote work within the US/Canada region and a comprehensive benefits package are offered.

Qualifications

  • 5+ years of experience with high-volume data infrastructure.
  • Proficient in Python and SQL; able to write and optimize complex queries.
  • Hands-on experience with dbt and Spark/Presto/Trino.
  • Experience with modern tooling: Airflow, Databricks Workflows, CI/CD, and IaC.

Responsibilities

  • Design, build, and maintain scalable data pipelines for real-time analytics and ML.
  • Automate, test, and harden data workflows at scale for reliability.
  • Architect logical/physical data models to meet evolving needs.
  • Build and maintain features for ML models and data products.
  • Collaborate with product, analytics, and data science teams to turn data into value.

Skills

Python
SQL
LLM usage
Databricks
Snowflake/BigQuery
Spark
Presto/Trino
dbt
Data modeling
Airflow
CI/CD (GitHub Actions)
Terraform

Education

BS in Computer Science or related quantitative field

Tools

Databricks Workflows
Terraform
GitHub Actions
Airflow
dbt

Job description

Life360, a remote-first company, is seeking a Senior Data Engineer II to enhance and maintain data pipelines and a secure data lakehouse. You will own data infrastructure, enabling real-time analytics, ML, and experimentation at scale.

We value ownership, strong engineering fundamentals, and collaboration with product and data science teams. Flexible remote work within the US/Canada region and a comprehensive benefits package are offered.

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