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Senior SW Engineer - Data Team

Roles & Responsibilities

  • 7+ years developing and operating large-scale systems with high availability
  • 7+ years of experience with Python or equivalent
  • Experience with cloud environments (AWS preferred) and big data technologies (Spark, Airflow, S3, Snowflake, EMR)
  • Autodidact and self-motivated team player with solid communication skills who is interested in tackling the challenge of working with data at a scale

Requirements:

  • Own, enhance, and improve Finout's core platform with a focus on system efficiency and resilient infrastructure
  • Integrate SAAS platforms to Finout's big data repository (e.g., major cloud providers, DataDog, Snowflake)
  • Optimize Spark and Airflow processes
  • Contribute to data design and platform architecture while collaborating with other business units and engineering teams; test and monitor large-scale data pipelines

Job description

Cloud is now one of the biggest business expenses—and one of the hardest to manage.
At Finout, we’re not just shedding light on spend—we’re giving companies the power to make smarter, faster, and more strategic decisions about the cloud.
We’re trusted by brands like The New York Times, Wiz, Elastic, SiriusXM, and Lyft, and backed by top-tier investors with over $85M raised. In just 4 years, we’ve grown to 100+ people across Tel Aviv and New York—and we’re just getting started.
If you’re looking to build something big, solve real problems, and grow fast—we’d love to meet you.

Responsibilities:

  • Own, enhance, and improve finout's core platform

  • Focus on system efficiency and resilient infrastructure

  • Integrate well-known SAAS platforms to Finout’s big data repository e.g., the major cloud providers, DataDog, and Snowflake

  • Optimize Spark and airflow processes

  • Contribute to data design and platform architecture while working closely with other business units and engineering teams

  • Face the challenges of testing and monitoring your large-scale data pipelines

Requirements:

  • 7+ years developing and operating large-scale systems with high availability

  • 7+ years of experience with Python or equivalent

  • Experience working with cloud environments (AWS preferred) and big data technologies (Spark, Airflow, S3, Snowflake, EMR)

  • Autodidact and self-motivated team player with solid communication skills who is interested in tackling the challenge of working with data at a scale

Our Values


We're a hybrid company with a big vision and a startup soul. If you’re excited to help shape the future of cloud infrastructure and join a team that cares deeply about what (and how) we build—we’d love to meet you.

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