staff data engineering Analytics Engineer tech_leadership · Posted Apr 20, 2026
$156,500 – $227,500
USD per year

About this role

LiveRamp is hiring a staff-level Analytics Engineer in the data engineering function based in San Francisco, CA. The posting calls out experience with Python, SQL, BigQuery, dbt. Compensation is listed at $156,500–$227,500 per year.

Role
Analytics Engineer
Function
data engineering
Level
staff
Track
Tech leadership
Employment
Full-time
Location
San Francisco, CA
Posted
Apr 20, 2026

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Job description

from LiveRamp careers

LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners.

Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.




The Principal Analytics & ML Engineer plays a critical role in delivering trusted, scalable analytics and ML solutions to stakeholders across the company, particularly in the Product & Engineering areas. Working closely with architects and data engineers, you’ll help shape data models and pipelines and build ML / AI frameworks that serve as the foundation for high-impact dashboards and predictive and prescriptive analytics. You’ll design user-centric tools that empower teams to explore data, gain insights, and make better decisions — powered by platforms like BigQuery, AI, ML, and Tableau.
 

This is an excerpt. Read the full job description on LiveRamp careers →
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