Senior Analytics Engineer: Data Modeling & Pipelines

Doist; United States; Remote; USD 148,000 - 218,500; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company matching

Life & disability insurance

Flexible PTO

Remote work options

Free Life360 Platinum Membership

Job summary

Life360 is seeking a Senior Analytics Engineer to transform vast data into trusted models powering analytics, reporting, and data science. You’ll model datasets, build dbt pipelines, and own data contracts across stakeholders, while leveraging Databricks to maintain robust data flows.

The role emphasizes AI/LLM-enabled tooling to accelerate development, with a focus on data quality, performance, and self-service analytics through clear semantic layers.

Qualifications

• 5+ years in analytics engineering or data modeling.
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Responsibilities

• Design robust dimensional and relational data models for analytics.
• Build and maintain scalable dbt transformation pipelines.
• Own transformation and modeling of curated (Silver/Gold) datasets.
• Collaborate with data engineers to build pipelines in Databricks.
• Translate requirements into durable data products for experimentation and analytics.
• Establish data quality tests, monitoring, and SLAs.

Skills

Data modeling

SQL

Python

Databricks

dbt

AI/LLM usage

Data pipelines

Collaboration

Education

Bachelor's degree in CS or related

Tools

Databricks

Delta Lake

Git

CI/CD

BI tools (Looker/Tableau)

Job description

Life360 is seeking a Senior Analytics Engineer to transform vast data into trusted models powering analytics, reporting, and data science. You’ll model datasets, build dbt pipelines, and own data contracts across stakeholders, while leveraging Databricks to maintain robust data flows.

The role emphasizes AI/LLM-enabled tooling to accelerate development, with a focus on data quality, performance, and self-service analytics through clear semantic layers.