Senior Software Engineer

Data Engineering and Pipelines

5+ years of professional software engineering experience with a strong focus on backend systems, data engineering, or distributed processing.

Proven experience building and operating production data pipelines at scale.

Deep proficiency with Java and object-oriented design.

Hands-on expertise with data processing and orchestration technologies such as Apache Beam, Apache Airflow, Spark, Google Dataflow, or DataProc.

Strong experience with streaming systems such as Apache Kafka, Google Pub/Sub, or similar technologies.

Strong understanding of batch processing, streaming processing, data modeling, schema evolution, and data quality management.

Experience designing ETL/ELT workflows that process large volumes of structured and semi-structured data.

Backend and Distributed Systems

Experience designing high-throughput, fault-tolerant backend services and distributed systems.

Strong understanding of APIs, integration patterns, retries, backpressure, idempotency, and operational failure modes.

Ability to write clean, maintainable production code and evaluate tradeoffs in system design.

Experience with large-scale storage and query technologies such as BigQuery, Snowflake, Trino, or similar systems.

Cloud and Operations

Experience with at least one cloud provider, preferably GCP.

Hands-on experience with cloud services such as BigQuery, GCS, GKE, Dataflow, DataProc, and Pub/Sub.

Experience operating production services with monitoring, logging, alerting, SLIs, and incident investigation.

Ability to analyze and improve pipeline performance, reliability, resource utilization, and cost.

General

Bachelor's degree in Computer Science, Software Engineering, or a related field.

Ability to translate business and data requirements into clear technical designs and implementation plans.

Pragmatic engineering judgment with the ability to balance correctness, delivery speed, maintainability, and operational risk.

Experience with Kubernetes, especially GKE or EKS, for running distributed workloads.

Experience with Terraform or other infrastructure-as-code tools.

Experience with Snowflake, BigQuery, Starburst/Trino, or similar query engines.

Knowledge of data integration patterns involving CRM systems, email/calendar APIs, third-party feeds, change data capture, or external data providers.

Experience in a B2B data company, data marketplace, or data-as-a-product environment.

Expert-level experience with Apache Spark or another distributed processing framework.

Data Acquisition is one of ZoomInfo's biggest assets. The pipelines and services you build will directly shape the scale, accuracy, and freshness of the data that powers ZoomInfo's products.

This role is for an engineer who wants to work on core data infrastructure, difficult production systems, and high-impact data acquisition capabilities where backend engineering and data quality are tightly connected.

#LI-AR2 #LI-Hybrid

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

About us:

ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

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