ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. We're looking for a Software Engineer III to join the Data Acquisition team - one of ZoomInfo's most strategically important engineering areas. In this role, you will help build the systems that acquire, transform, validate, and store large raw data sets from a wide range of sources. Responsibilities Design and build backend data pipelines that ingest, validate, normalize, enrich, and store high-volume raw data from multiple sources. Develop ETL/ELT workflows and processing jobs using technologies such as Apache Airflow, Apache Beam, Google Dataflow, DataProc, Spark, Kafka, or Pub/Sub. Implement new features in Java-based services and data processing applications that support data acquisition at scale. Work with batch and streaming architectures for scheduled, near-real-time, and event-driven data flows. Improve data quality through schema validation, deduplication, enrichment, monitoring, retries, and controlled backfills. Contribute to observability for pipeline health, throughput, latency, cost, and error rates. Collaborate with product managers, data teams, and platform teams to translate business requirements into reliable technical solutions. Help design, plan, and execute the roadmap for next-generation data acquisition technologies. Must-Have Qualifications 3+ years of professional software engineering experience. Solid experience building and operating production data pipelines, ETL/ELT workflows, or data processing systems. Strong proficiency with Java and object-oriented programming. Hands-on experience with data processing and orchestration technologies such as Apache Beam, Apache Airflow, Spark, Google Dataflow, or DataProc. Experience with streaming technologies such as Kafka, Google Pub/Sub, or similar systems. Understanding of batch processing, streaming processing, data modeling, schema design, and data quality practices. Experience building backend services, APIs, or distributed systems that run in production. Experience with at least one cloud provider, preferably GCP. Familiarity with cloud data and compute services such as BigQuery, GCS, GKE, Dataflow, DataProc, and Pub/Sub. Practical knowledge of SQL, large-scale storage/query systems, logging, monitoring, and alerting. Ability to troubleshoot pipeline failures, data issues, performance bottlenecks, and operational incidents. Nice to Have Experience with Kubernetes, especially GKE or EKS, for distributed workloads. Experience with Snowflake, BigQuery, Starburst/Trino, or similar data warehouses and query engines. Experience with Terraform or other infrastructure-as-code tools. Exposure to data integration patterns involving CRM systems, email/calendar APIs, third-party feeds, or large external datasets. Experience in a B2B data company, data marketplace, or data-as-a-product environment. Benefits We offer comprehensive benefits, holistic mind, body and lifestyle programs designed for overall well-being.