SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 82,000 - 125,000 / annual
LiveRamp is seeking a Technical Services Data Engineer to join its Global Services team. In this role, you will be the primary technical interface for some of LiveRamp's largest clients, collaborating to understand their goals and deliver custom data collaboration solutions using the LiveRamp platform.
Key responsibilities include:
- Partner with clients and cross-functional teams (business, engineering, product) to define technical approaches and implement solutions
- Lead customer discovery sessions to understand requirements and translate them into platform implementations
- Manage multiple client projects simultaneously, each at different stages of progress
- Troubleshoot technical issues and provide advisory guidance on optimal solutions, even when they differ from initial client expectations
- Deliver presentations and communicate technical concepts to external audiences of varying sizes and technical backgrounds
- Build and maintain robust, QA-ready data pipelines
- Apply analytical problem-solving to client challenges
Required qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Math, or related quantitative field
- 2+ years of relevant experience in data science, adtech, or advertising technology
- 2+ years building production-ready data pipelines
- Fluency in SQL, Python, or similar programming languages for analytics and automation
- Strong presentation and communication skills (phone, video, in-person)
- Ability to quickly learn new technical subjects and explain them to non-technical audiences
- Self-starter mentality with ability to work independently and navigate ambiguous situations
Desired experience:
- Kubernetes or container orchestration
- Google Cloud Platform (GCP)
- Understanding of adtech/martech ecosystem and LiveRamp's market position
- Prior client-facing technical roles
- Knowledge of media planning, measurement, and optimization
- Experience with analytical tools and methodologies
This is a hybrid role with offices in San Francisco, Little Rock, and New York. The position offers competitive compensation ($82,000–$125,000 base), comprehensive benefits including medical/dental/vision, 401(k) matching, flexible PTO, and a collaborative, growth-oriented culture.
