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Urgent! Senior Data Engineer Position in Tel Aviv-Yafo - OpenWeb

Senior Data Engineer



Job description

We create a safe space for communities to thrive.

OpenWeb’s mission is to improve the quality of conversations online, building a healthier web where content creators of all kinds are empowered to thrive.

As a product company, OpenWeb partners with publishers and brands to build strong, direct relationships with their audiences.


OpenWeb’s technology empowers its partners to build vibrant communities rooted in healthy conversations and robust social experiences.

OpenWeb works with more than 1,000 top-tier publishers, hosting more than 100 million active users each month.


Founded in 2015, OpenWeb has nearly 300 employees in New York City, Tel Aviv, Kyiv, San Diego, Canada, London, and Paris and is backed by world-class investors, including Georgian, Insight Partners, Entrée Capital, The New York Times, Samsung Next, Dentsu, and ScaleUp. To date, the company has raised $393 million in funding and is currently valued at $1.5 billion.

What You'll Do:

  • Shape the Future of Data at OpenWeb - Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.

  • Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem — including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).

  • Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs — integrating data engineering with user-facing insights.

  • Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python.

    Think creatively to make the hard things simple.

  • Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines.

    Take ownership from concept to production and long-term maintenance.

  • Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective.

    Help translate ideas into robust data solutions.

  • Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether that’s through lakehouse tables, real-time streams, or analytics-optimized storage.

  • You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.
  • What You'll Bring:

  • 5+ years of hands-on experience as a Data Engineer, building and operating production-grade data systems.

  • 3+ years of experience with Spark, SQL, Python, and orchestration tools like Airflow (or similar).

  • Degree in Computer Science, Engineering, or a related quantitative field.

  • Proven track record in designing and implementing high-scale ETL pipelines and real-time or batch data workflows.

  • Deep understanding of data lakehouse and warehouse architectures, dimensional modeling, and performance optimization.

  • Strong analytical thinking, debugging, and problem-solving skills in complex environments.

  • Familiarity with infrastructure as code, CI/CD pipelines, and building data-oriented microservices or APIs.

  • Enthusiasm for AI-driven developer tools such as Cursor.AI or GitHub Copilot.
  • Bonus points 

  • Hands-on experience with our stack: Databricks, Delta Lake, Kafka, Docker, Airflow, Terraform, and AWS.

  • Experience in building self-serve data platforms and improving developer experience across the organization.

  • Required Skill Profession

    Computer Occupations



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