Software Engineer (Data Acquisition)

Join ZoomInfo, a leading B2B data company, as a Software Engineer III on the Data Acquisition team. In this role, you will build systems that acquire, transform, validate, and store large raw data sets from various sources. You will work on backend services, batch and streaming pipelines, workflow orchestration, and next-generation data acquisition technologies. The position requires strong hands-on experience with data pipelines, distributed processing, Java, cloud infrastructure, and production-quality engineering practices.

• Conception et construction de pipelines de données backend pour ingérer, valider, normaliser, enrichir et stocker des données brutes.
• Développement de workflows ETL/ELT et de tâches de traitement en utilisant des technologies telles qu'Apache Airflow, Apache Beam, Google Dataflow, etc.
• Collaboration avec les chefs de produit, les équipes de données et les équipes de plateforme pour traduire les exigences commerciales en solutions techniques fiables.
• 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
• Strong proficiency with Java and object-oriented programming
• Experience building backend services, APIs, or distributed systems that run in production
• Strong problem-solving skills and attention to detail
• Experience with at least one cloud provider, preferably GCP
• Ability to troubleshoot pipeline failures, data issues, performance bottlenecks, and operational incidents
• Pragmatic engineering judgment with the ability to balance quality, speed, and business impact
• Understanding of batch processing, streaming processing, data modeling, schema design, and data quality practices
• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Solid experience building and operating production data pipelines, ETL/ELT workflows, or data processing systems
• Experience with streaming technologies such as Kafka, Google Pub/Sub, or similar systems
• 3+ years of professional software engineering experience
• Experience with Kubernetes, especially GKE or EKS, for distributed workloads
• 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
• Hands-on experience with data processing and orchestration technologies such as Apache Beam, Apache Airflow, Spark, Google Dataflow, or DataProc
• Data Engineering and Pipelines:
• Backend, Cloud, and Operations:
• Experience with Terraform or other infrastructure-as-code tools
• Experience with Snowflake, BigQuery, Starburst/Trino, or similar data warehouses and query engines