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Software Engineer III - Data Acquisition

ZoomInfo Technologies LLC
Waltham, MA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
www.thejobnetwork.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Airflow Batch Processing Big Data BigQuery Cloud Computing Cloud Database Data Deduplication Information Engineering Extract Transform Load (ETL) Data Warehousing
+24 more
Distributed Systems Data Flow Control Object-Oriented Software Development Operational Databases Raw Data Standard Sql Cloudera Software Engineering Data Streaming Data Logging Data Processing Snowflake Apache Spark Backend Event Driven Architecture Build Management Kubernetes Infrastructure Automation Frameworks Information Technology Apache Kafka Video Streaming Terraform Data Pipelines Apache Beam

Job description

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.

What You'll do:

  • 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.

Requirements

  • Data Engineering and Pipelines
  • 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.
  • Backend, Cloud, and Operations
  • 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.

    • </ul>

    General

    • 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 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.

    Apply for this position

    This job is hosted externally. Click below to view the full posting and apply.

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