Software Engineer III - Contributory Network

Zoom Info 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 Contributory Network team within Data Acquisition - one of Zoom Info's most strategically important initiatives.

The Contributory Network is building the infrastructure that powers a new generation of intelligence products by ingesting, transforming, and processing first‑party data contributed by thousands of customers through their CRM, email, and recording provider integrations.

In this role, you’ll build the data pipelines that ingest and transform massive volumes of contributed data, as well as contribute to front‑end experiences that give internal teams and customers visibility into the platform. You’ll work across the full stack, with a strong emphasis on backend data engineering and a meaningful front‑end component.

• Design and build data pipelines that ingest, validate, and transform first‑party data from customer integrations (CRM systems, email providers, recording platforms)
• Develop and maintain ETL/ELT workflows for processing contributed contact information, opportunity metadata, and engagement signals at scale
• Build and enhance front‑end interfaces for monitoring, configuration, and data quality dashboards using Angular
• Work with streaming and batch processing technologies to handle real‑time and scheduled data flows
• Collaborate closely with product managers to translate business requirements into technical solutions
• Ensure data quality and integrity across the pipeline - from ingestion through enrichment and delivery
• Contribute to observability and monitoring for pipeline health, throughput, and error rates
• Partner with cross‑functional teams (Data Quality, Platform, Product) to deliver impactful features

• 3+ years of professional software engineering experience
• Solid experience building and operating data pipelines (ETL/ELT) at scale
• Proficiency in Java
• Experience with data processing frameworks such as Apache Beam, Apache Airflow or Spark
• Hands‑on experience with streaming technologies (Kafka, Pub/Sub, or similar)
• Familiarity with cloud platforms, preferably GCP (Big Query, GKE, Dataflow/Data Proc)
• Understanding of data modeling, schema design, and data quality practices

• Working experience with modern front‑end frameworks, ideally Angular
• Ability to build functional, clean UIs for internal tools, dashboards, and configuration screens
• Comfortable working with REST APIs and integrating front‑end with backend services

• Bachelor’s degree in Computer Science, Software Engineering, or a related field
• Strong problem‑solving skills and attention to detail
• Ability to find the right balance between perfection and getting the job done
• Effective communicator who works well in a collaborative, cross‑functional environment

• Experience with Kubernetes (GKE/EKS) for distributed workloads
• Familiarity with Snowflake, Big Query, or similar cloud data warehouses
• Experience with Terraform or infrastructure‑as‑code tools
• Exposure to data integration patterns involving CRM systems or email/calendar APIs
• Experience in a B2B data company or data‑as‑product environment

The Contributory Network is a cornerstone of Zoom Info’s long‑term strategy. By building the data infrastructure that processes first‑party contributions from thousands of companies, you’ll directly power intelligence products - from competitive benchmarking to buyer committee insights to market timing signals - that no other source in the world can offer.

You’ll be joining at a pivotal moment: the initiative is high‑visibility, the team is growing, and the opportunity to shape how contributory data flows through Zoom Info is yours to build.

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills,…