Primary record

Senior Software Engineer - PA086

ZoomInfo Indexed employerWaltham, Massachusetts, United States
Source-hosted applyChecked 4h agoContract
Apply at ZoomInfo

ZoomInfo receives this application through Greenhouse. Babu Careers does not claim delivery.

Workplace

hybrid

Employment

Contract

Published

Aug 21, 2026

Closes

No date supplied

The role

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.

The Opportunity

We're looking for a Senior Software Engineer to join the Data Acquisition team — one of ZoomInfo's most strategically important engineering areas.

In this role, you will design, build, and operate the backend systems and data pipelines that acquire, transform, validate, and store large raw data sets from a wide range of sources. You will work across distributed processing, workflow orchestration, streaming and batch data flows, and cloud infrastructure.

This is a senior individual-contributor engineering role focused on technical depth, production execution, and high-quality data systems. The right candidate brings strong backend engineering fundamentals, significant pipeline experience, and the ability to turn complex data acquisition requirements into scalable systems.

What You'll Do

• Design, build, and operate large-scale data acquisition pipelines that ingest, validate, transform, enrich, and store high-volume raw data.

• Architect resilient ETL/ELT workflows for batch, streaming, scheduled, and event-driven data processing.

• Develop production Java services and data processing applications for ingestion, orchestration, enrichment, deduplication, and delivery.

• Build and improve systems using technologies such as Apache Airflow, Apache Beam, Spark, Google Dataflow, DataProc, Kafka, and Pub/Sub.

• Define practical approaches for schema evolution, data contracts, data validation, backfills, replayability, and idempotent processing.

• Improve reliability, performance, scalability, and cost e

Requirements

Department: 936 Engineering - Data Engineering