Senior IT DataOps Business Intelligence Engineer

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.

At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.

As an IT DataOps Data Engineer, you will help the DataOps team build the data transport, collection, and storage, and expose services that make data accessible to all of Gong’s business data platforms. We are seeking a Data Engineer to develop a scalable data platform. You'll own our core business data pipeline that powers Gong’s top-line metrics. You will also use data expertise to help evolve data models in several components of the data stack. You will help architect, build, and launch scalable data pipelines to support Gong’s growing data processing and analytics needs. Your efforts will allow access to business and user behavior insights, using Gong’s data to fuel several teams across the organization. A major focus of this role will be administering our Tableau environments (Server & Cloud), developing and administration of internal operational tools via Retool, and driving our Reverse ETL (RETL) strategy. Additionally, you will play a key role in operationalizing AI-driven insights—building pipelines that deliver predictive metrics and LLM-generated data points directly into our core business applications.

We are looking for an IT DataOps Business Intelligence Engineer to join our IT Infrastructure team. This role will focus on building, optimizing, and maintaining our data infrastructure to support business analytics, data integration, and automation efforts. You will work with a modern stack—including GCP, AWS, Snowflake, Jenkins, dbt, Retool, Census, Tableau, and Workato—to ensure data flows efficiently and securely across the organization. You are a strong self-starter with the ability to navigate ambiguous, fast-paced work environments while managing stakeholder relationships.

• Reverse ETL (RETL) & Data Activation: Design, develop, and own scalable RETL pipelines using Census, Workato, dbt, and Snowflake.

• Operational Integration: Map transformed data models into destination SaaS applications (e.g., Salesforce, Zendesk), managing API rate limits, webhook handling, data sync observability, and error resolution.

• Integrate data across multiple sources (cloud and on-prem) using a variety of approaches (such as IPaaS or API-based extraction).

• Tableau Administration & Architecture: Manage, optimize, and scale Tableau Server and Tableau Cloud environments. Handle user provisioning, security/permissions, site administration, extract scheduling, and performance tuning.

• Retool Application Development: Partner with business teams to architect, build, and