Data Engineer

A stealth-mode startup company, founded two years ago, operating in the Sales Intelligence domain. The company has developed an AI-driven platform designed specifically for developers, aiming to help software companies discover truly relevant and high-quality sales opportunities — not random leads.

The platform is uniquely designed to deliver highly detailed intelligence, enabling teams to turn complex data into actionable insights. This transformation is key to driving revenue growth and improving operational efficiency in rapidly expanding global markets.

The company is based in Tel Aviv, near the train line. It currently has 28 employees, including a 7-person R&D team. Having recently completed a Seed round of over $10M, the company has strong runway and dozens of paying customers.

Role Overview –

• This is the first Data Engineering role in the company. You will take ownership of building data infrastructure and pipelines from the ground up.
• Design, build, and maintain scalable and robust data pipelines using Apache Spark and Python.
• Develop and maintain backend services and APIs using Python-based frameworks.
• Collaborate with cross-functional teams including data scientists, product managers, and front-end developers to deliver high-quality solutions.
• Implement and manage CI/CD pipelines, ensuring smooth deployment processes and consistent delivery.
• Work with AWS cloud services to design and optimize infrastructure for data processing and storage.
• Contribute to system architecture discussions and help define best practices for data engineering.
• Tech Stack-Python, Apache Spark, CI/CD pipelines, AWS cloud service

Requirements-

• 5+ years of experience as a data engineer, with a focus on Python.
• Proven experience with Apache Spark in production environments.
• Strong background in backend development using Python.
• Deep understanding of AWS services such as S3, Lambda, EC2, EMR.
• Hands-on experience with CI/CD pipelines and tools like GitHub Actions, Jenkins.
• Solid understanding of data modeling, ETL processes, and data pipeline architecture.
• Experience with front-end development using React.js - an advantage.
• Previous work in data-centric startups - an advantage.
• Familiarity with DevOps tools and practices (e.g. IaC, monitoring, automation) - an advantage.