Data Engineer

A pioneering Data and IoT technology corporation that has engineered a disruptive ConstructionTech platform designed to transform industrial jobsites into fully optimized, data-driven environments.

Backed by over $100M in institutional funding across two major investment rounds, the company operates as an elite Israeli-American organization under top-tier executive leadership, with its platform actively running in production across massive commercial infrastructure projects in the US and Europe.

The company's R&D headquarters is located in Tel Aviv (highly accessible, situated within walking distance of a primary train hub) and operates on a flexible hybrid model allowing for two days of remote work per week.

Position Overview-

• Senior Data Engineer joining an elite core data division, reporting directly to the Director of Data and Research.
• Owning the end-to-end design, implementation, and optimization of high-throughput data modeling strategies and automated Data Pipelines.
• Architecting scalable data infrastructures to process massive streaming datasets generated by global IoT fleets.
• Serving as the authoritative technical pillar for Data Quality, Governance, and Integrity across all production environments.
• Empowering internal data science, research, and analytics squads by building optimized data abstraction layers and reliable execution environments.

Requirements-

• 5 years of proven, hands-on professional Data Engineering experience inside data-intensive or product-centric environments (Mandatory).
• Strong production-grade mastery engineering distributed data architectures with Spark / PySpark (Mandatory).
• Direct, practical experience developing data workflows and lakehouse structures over Databricks (Mandatory).
• Robust cloud infrastructure experience designing and deploying data systems within AWS (Mandatory).
• Solid technical understanding of real-time streaming layers (Kafka), data warehouse modeling, and automated provisioning via Terraform.