Bluespine-Backend/Data Engineer

Team8 • Venture Capital • Bachelor's Degree • Python • Java • SQL • Scala • ETL/ELT • 11 days ago
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Location
In office (Tel Aviv)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 3, 2026.

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Team8

Team8 is a Tel Aviv venture creation and venture capital firm that builds and invests in companies in cybersecurity, software infrastructure, fintech and digital health, with offices in New York and San Francisco. Founded in 2014 by veterans of Israel's Unit 8200 intelligence corps, it manages about $1.8 billion and has created companies such as Claroty, Sygnia and Talon, assembling founders and early teams through its own venture creation model. Its job board advertises its own security, finance and business development roles plus engineering, AI, product and go-to-market openings at portfolio and stealth startups such as Lumia Security, Solid, Charm Security and Popai Health.
team8.vc • HQ: Tel Aviv, Israel • Angel Networks & Startup Accelerators • Venture Capital • 51-200 employees • Est. 2014
Backed by Bessemer Venture Partners, Cisco Investments, Atento Capital

Description

Join Team8 as a Bluespine-Backend/Data Engineer and drive the development and optimization of our backend data systems, enabling seamless data integration and analysis across the company.

Responsibilities:

  • Design and implement scalable backend data solutions.
  • Collaborate with cross-functional teams to integrate data sources.
  • Optimize data retrieval and storage processes for performance efficiency.
  • Develop and maintain data pipelines and ETL processes.
  • Ensure data quality and integrity through rigorous testing and validation.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • At least 3 years of experience in backend development and data engineering.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with SQL and NoSQL databases.
  • Familiarity with cloud platforms like AWS, Azure, or GCP.
  • Strong understanding of ETL processes and data pipeline architectures.
  • Excellent problem-solving skills and attention to detail.
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