Social Intelligence Data Engineer

This team sits within our customer’s broader Marketing organization, within the Brand Social scope, and is responsible for developing the data, analytics, and AI capabilities that help marketers deliver data driven decisions.

More granularly, this individual will serve as a key contributor to the Social Data Warehouse team, helping build and maintain the underlying marketing data infrastructure that powers reporting, analytics, and emerging AI applications. They will work directly with internal engineering teams to onboard new data sources, build and optimize data pipelines, and ensure data is reliably surfaced to front-end applications and business tools. A significant portion of the role will involve integrating APIs and third-party vendor data, troubleshooting data flows, and ensuring scalable, high-quality access to information across the organization. The ideal candidate will be comfortable operating in a cloud-based environment, partnering with both engineers and business stakeholders, and helping establish the technical foundation for future analytics and AI initiatives.

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5+ years of Data Engineering experience.

Advanced SQL skills.

Hands-on experience with Google Cloud Platform (GCP).

Experience building, maintaining, and optimizing data pipelines.

Experience working with APIs and integrating third-party data sources.

Strong understanding of data warehousing and data modeling principles.

Experience troubleshooting data flow and infrastructure issues.

Ability to work closely with engineers, analysts, and product stakeholders.

Experience in Agile development environments.

Experience with large-scale social, behavioral, or customer datasets. Experience supporting AI/ML initiatives through data infrastructure.

Experience with large-scale social, behavioral, or customer datasets.

Experience with streaming or near real-time data pipelines.

Familiarity with business intelligence and analytics use cases.

Exposure to Python or other scripting languages.

Experience working in high-growth startup environments and/or large enterprise organizations.