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Senior Data Engineer

Tel Aviv

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 a Senior Data Engineer, you’ll build the foundation of our data infrastructure, develop scalable and reliable data models, and empower teams across Gong with trusted insights that influence product direction and business decisions.

You’ll Own: 

  • The design, build, and maintenance of robust data models that turn raw data into trusted, analytics-ready datasets.
  • Our DBT pipelines and evolve them with a focus on scalability, modular design, testing, and clear documentation.
  • Customer-facing datasets and monitor pipeline health to ensure high data quality, integrity, and reliability.

You’ll Solve:

  • Translate complex product and business logic into clear, scalable, and maintainable data models.
  • Proactively identify and resolve data quality, pipeline, and event integrity issues while improving performance and cost efficiency across the data stack.

You’ll Impact:

  • Enable product, business, and engineering teams to make faster, more confident decisions with accurate and accessible data.
  • Strengthen the scalability, efficiency, and trustworthiness of our data platform, which will help drive product innovation and deliver high-quality, customer-facing data solutions.

How You’ll Succeed Here:

  • You bring 4+ years of experience in data engineering or similar data roles, along with strong SQL skills and hands-on experience with Snowflake or a similar cloud data warehouse.
  • You have solid experience with DBT for transformation, modeling, and documentation, and a strong commitment to building maintainable, high-quality data foundations.
  • You’re comfortable working with Python, CI/CD workflows, version control, and testing frameworks to create reliable and scalable data solutions.
  • You communicate clearly, collaborate effectively across technical and non-technical teams, and enjoy turning complex data into meaningful insights that drive impact.
  • Familiarity with modern data orchestration tools such as Airflow, or similar - a plus

*We operate in a flexible hybrid work model.

What makes the Engineering department at Gong unique? 

Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create radical impact. We call this “Own. Solve. Impact.”  For our engineers, it means being involved and able to influence the entire process to create the best product. If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. Who knows, maybe there’s a Gongster in you!

We encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us: flexibility, autonomy, positive work relationships, and effective work habits.

If these considerations are important to you when choosing a workplace, we'd love to see you with us. To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details.

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