Latest Data Engineering jobs at ZoomInfo

Architects and builds ZoomInfo’s distributed data-platform infrastructure, including federated GraphQL access, real-time pipelines, indexing, and observability. The role requires 10+ years of software engineering experience, cloud-native expertise, and strong distributed-systems design skills.

Build and operate large-scale data acquisition pipelines, distributed processing systems, and production Java services across batch and streaming workloads. The role requires 5+ years of backend or data engineering experience, strong distributed-systems expertise, and proficiency with cloud data technologies.

Builds and operates large-scale web crawling, extraction, and data engineering infrastructure processing billions of pages. The role requires 5+ years of software engineering experience, strong distributed-systems fundamentals, and proficiency with Java or Python, cloud platforms, Kubernetes, and ETL technologies.

Designs and operates scalable enterprise data pipelines, warehouses, and lakehouse infrastructure using Python, SQL, dbt, Airflow, and Snowflake. The role requires 8+ years of data engineering experience, production ownership, cloud expertise, and strong architectural and mentoring skills.

Build and operate large-scale backend data pipelines and ETL/ELT workflows for acquiring, validating, and storing high-volume business data using Java, Spark, Airflow, Beam, Kafka and GCP services. Requires 3+ years experience in production data engineering.

Builds and optimizes big data pipelines processing billions of signals for technographic data services. Requires 5+ years experience with Spark, Hadoop, Java/Scala, and distributed systems; collaborates with data scientists on ML integration.

Builds and optimizes big data pipelines processing billions of signals for technographic data services, designs scalable architectures, and collaborates with data scientists on ML integration. Requires 8+ years experience with Hadoop, Spark, Java/Scala, and large-scale distributed systems.