Hybrid Data Engineer

Posted 2 months ago

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About the role

  • Build and scale data pipelines using Spark, Airflow, AWS, and Python.
  • Process petabytes daily for Sales Streaming platform powering features for millions of users.
  • Solve real problems and optimize pipelines to improve sales team performance.
  • Collaborate with Data Scientists, ML engineers, and Product teams.
  • Own work from data lakes to real-time streaming and deploy production serving millions of queries.

Requirements

  • Engineers with 3+ years building data systems at scale.
  • Python and SQL are second nature.
  • Problem solvers who love data mining, algorithmic optimization, and turning chaos into insights.
  • Comfortable with Airflow, Spark, AWS, Kubernetes.
  • Team players who want ownership, autonomy, and real impact.

Benefits

  • Flexibility meets impact. Tel Aviv office or hybrid—whatever helps you do your best work.
  • Real growth: bootstrapped startup to $1.5B unicorn in 8 years.
  • Data is our product; work directly impacts revenue and sales teams' performance.

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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