Senior Big Data Engineer - Spark, Java, Cloud, Scalable

LiveRamp, Inc.; San Francisco (CA); On-site; USD 130,000 - 197,000; Full time

Job summary

LiveRamp is seeking a Senior Software Engineer for the Identity Engineering team in San Francisco to maintain the graph processing engine that connects trillions of identifiers and devices. The role focuses on scalability, performance, cost, security, and compliance to empower AI-driven marketing insights.

You will collaborate with product managers and engineers to deliver modular, scalable applications and modernize infrastructure using Spark, batch processing, REST APIs, and cloud platforms.

Qualifications

• 6+ years of professional software development experience, focused on big data technologies.
• 3+ years writing and optimizing large-scale batch processing with Spark/Hadoop.
• 3+ years of Java and SQL programming.
• 2+ years cloud-based platforms such as GCP, AWS, Azure.

Responsibilities

• Lead complex problems, breaking them into essential components and delivering value.
• Collaborate with the team and cross-functional partners to deliver solutions.
• Modernize applications to be modular and scalable using the latest stack.
• Work closely with product managers and engineers to ship high-quality software.
• Design with privacy and security-first principles and ship fast, iterate.

Skills

Big data

Spark

Hadoop

Java

SQL

Cloud platforms

Startup mindset

Education

Bachelor's degree

Tools

Docker

Terraform

Kubernetes

Job description

LiveRamp is seeking a Senior Software Engineer for the Identity Engineering team in San Francisco to maintain the graph processing engine that connects trillions of identifiers and devices. The role focuses on scalability, performance, cost, security, and compliance to empower AI-driven marketing insights.

You will collaborate with product managers and engineers to deliver modular, scalable applications and modernize infrastructure using Spark, batch processing, REST APIs, and cloud platforms.