Senior Data Engineer II - Remote Data Pipelines & ML

Life360; United States; Sur place; USD 148 000 - 217 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Dental insurance

Vision insurance

Parental leave

401(k) match

Mental Wellness

Flexible PTO

Learning & Development

Remote equipment reimbursement

Life360 Platinum membership

Résumé du poste

Life360’s Data & Analytics team is expanding, seeking a Senior Data Engineer II to own robust data pipelines and a lakehouse architecture. You will design, implement, and optimize scalable data workflows supporting real-time analytics, ML, and experimentation, across cloud platforms (AWS/GCP/Azure).

Ideal candidates bring 5+ years of high-volume data infrastructure, Python/SQL mastery, dbt ownership, and experience with Spark/Presto. This remote-first role offers strong benefits and equity.

Qualifications

• 5+ years of experience with high-volume data infrastructure.
• Experience with modern cloud data warehouse or lakehouse platforms on a major cloud provider.
• Proficient in Python and SQL with complex queries.

Responsabilités

• Design, build, and maintain scalable data pipelines and systems.
• Automate, test, and harden data workflows for reliability at scale.
• Architect data models for evolving business needs.
• Build and maintain features for ML models.
• Collaborate with product, analytics, and data science teams to turn data into value.

Connaissances

Data infrastructure

Python

SQL

dbt

Spark/Presto

Cloud data warehouse

Airflow

CI/CD

Terraform

LLM usage

Formation

BS in CS/IS/MI/Math/Data Science/Engineering

Outils

Databricks

Snowflake/BigQuery

Description du poste

Life360’s Data & Analytics team is expanding, seeking a Senior Data Engineer II to own robust data pipelines and a lakehouse architecture. You will design, implement, and optimize scalable data workflows supporting real-time analytics, ML, and experimentation, across cloud platforms (AWS/GCP/Azure).

Ideal candidates bring 5+ years of high-volume data infrastructure, Python/SQL mastery, dbt ownership, and experience with Spark/Presto. This remote-first role offers strong benefits and equity.