Software Engineer III - PA085

ZoomInfo • Waltham, MA

1d • Hybrid

About The Position

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. 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. You will work on backend services, batch and streaming pipelines, workflow orchestration, and the next generation of large-scale data acquisition technologies. This position is focused on backend and data engineering. It requires strong hands-on experience with data pipelines, distributed processing, Java, cloud infrastructure, and production-quality engineering practices.

Requirements

• 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.
• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Strong problem-solving skills and attention to detail.
• Pragmatic engineering judgment with the ability to balance quality, speed, and business impact.

Nice To Haves

• 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.

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.

Benefits

• Data Acquisition is one of ZoomInfo's biggest assets. The systems you build will directly affect how quickly and accurately ZoomInfo can acquire, process, and deliver high-quality business data.
• You will be joining a team that works on large-scale data infrastructure, high-impact product capabilities, and engineering problems where reliability, scale, and data

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level