Backend & ML Data Engineer — Cloud

LiveRamp; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

LiveRamp in San Francisco is seeking a software engineer to design, build, and maintain backend systems, data pipelines, and ML infrastructure that power our data collaboration platforms.

The role emphasizes Python, SQL, Airflow, and cloud-native tooling with BigQuery and GCS. You will collaborate with cross-functional partners, contribute to observability, and help scale production systems across time zones.

Qualifications

• 3+ years of professional software engineering building backend systems or ML infra.
• Proficient in Python and SQL, with experience in data pipelines and production systems.
• Experience with Airflow and cloud-native data tooling (BigQuery, GCS) required.

Responsibilities

• Design, build, and maintain ML and data workflows in production.
• Develop backend services and shared libraries for the platform.
• Improve observability, monitoring, and reliability of production pipelines.
• Collaborate with cross-functional teams to translate requirements into scalable solutions.
• Participate in on-call rotations and incident response as needed.

Skills

Python

SQL

Backend development

Data pipelines

Education

Bachelor's degree in Computer Science, Engineering, or a related technical field

Tools

Airflow

BigQuery

GCS

Job description

LiveRamp in San Francisco is seeking a software engineer to design, build, and maintain backend systems, data pipelines, and ML infrastructure that power our data collaboration platforms.

The role emphasizes Python, SQL, Airflow, and cloud-native tooling with BigQuery and GCS. You will collaborate with cross-functional partners, contribute to observability, and help scale production systems across time zones.