Data Engineer
Own and extend customer data ingestion platform and large-scale pipelines powering AI workers. Build data lake, retrieval layer, and infrastructure for syncing, enriching, and querying customer data across CRMs and third-party systems.
Build and maintain production data pipelines that prepare conversational, voice, and multimodal data for ML model training and evaluation. Partner closely with ML engineers to deliver high-quality, versioned datasets and infrastructure.
Own and extend customer data ingestion platform and large-scale pipelines powering AI workers. Build data lake, retrieval layer, and infrastructure for syncing, enriching, and querying customer data across CRMs and third-party systems.
Build and operate the identity data platform that ingests, transforms, and serves high-volume identity data to power all Lumos products. Own ingestion pipelines, service layers, APIs, and observability for correctness and reliability.
Builds and maintains data connectors, pipelines, and normalization services to acquire and validate identity attributes from various sources for the Identity Trust Graph. Requires 4+ years in OOP languages, containerized cloud systems like GCP/Kubernetes, and data integration experience.
Forward Deployed Data Engineer embedding with strategic enterprise accounts to design and deploy bespoke intelligence applications combining ZoomInfo's third-party data with customer first-party data. Own engagements end-to-end from discovery through production deployment.
Develops large-scale HD mapping datasets, data pipelines, and benchmarking tools for autonomous driving ML models. Collaborates with ML and cross-functional teams on data curation and performance improvements. Requires 3+ years experience with Python, TypeScript, React.