Senior Data Engineer at LiveRamp

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data PrivacyIndustries

Requirements

5+ years of experience in Data Engineering or a related technical role
Deep expertise in data modeling, ETL/ELT architecture, and SQL
Proficiency in Python for data transformation, automation, and tooling
Hands-on experience with modern data stack tools such as DBT, FiveTran, and Airflow (or similar ETL orchestration systems)
Experience with at least one major cloud data platform (e.g., GCP BigQuery, AWS Redshift, Azure Synapse, or Snowflake)
Understanding of data reliability, governance, and distributed computing
Experience supporting data platforms (access, cost optimization, monitoring)
Excellent communication skills and ability to work cross-functionally with technical and non-technical partners
A self-starter who thrives in fast-paced, evolving environments
Preferred Skills
Hands-on experience with Google Cloud Platform (BigQuery)
Experience with PySpark or distributed data processing frameworks
Experience building custom data frameworks or automation tooling
Exposure to data product management and data observability platforms

Responsibilities

Contribute to the design and maintenance of data pipelines that support business and product decision-making
Support the reliability and performance of data workflows across FiveTran, DBT, and Google Cloud (BigQuery)
Contribute to team-wide adoption of best practices for ETL and data automation with a focus on high data quality and system resilience
Administer and optimize data platforms, monitoring data systems for efficiency, scalability, and cost-effectiveness
Leverage frameworks and tools that support data pipeline to improve the reliability and observability of our data ecosystem
Partner with cross-functional teams (Data Science, Analytics, Engineering) to ensure that data solutions meet organizational needs
Mentor and onboard other engineers, contributing to shared standards and technical excellence

Skills

Key technologies and capabilities for this role

Data PipelinesFivetranDBTGoogle CloudBigQueryETLData AutomationData QualityMonitoringObservability

Questions & Answers

Common questions about this position

What experience level is required for this Senior Data Engineer role?

The role requires 5+ years of experience in Data Engineering or a related technical role.

What key technical skills are needed for this position?

Candidates need deep expertise in data modeling, ETL/ELT architecture, and SQL; proficiency in Python for data transformation; hands-on experience with DBT, FiveTran, Airflow or similar; and experience with a major cloud data platform like GCP BigQuery.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the team work on in this role?

Your team will build and maintain LiveRamp’s data infrastructure, drive collaboration across engineering and analytics teams, and tackle large-scale data challenges impacting multiple business domains and customer-facing systems.

LiveRamp

Identity platform for people-based marketing

About LiveRamp

LiveRamp offers an identity platform that connects people, data, and devices for effective marketing. This platform supports people-based marketing, allowing businesses to target their audiences more accurately. LiveRamp operates on a subscription model, providing services like data onboarding and identity resolution to help clients unify and analyze their data. The company aims to empower businesses to use data responsibly while enhancing customer experiences.

San Francisco, CaliforniaHeadquarters

2011Year Founded

$15.6MTotal Funding

IPOCompany Stage

Data & Analytics, Consumer SoftwareIndustries

1,001-5,000Employees