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Senior Big Data Engineer

OnTarget • Recruiting & Staffing • IT Staffing & Staff Augmentation • Python • Java • SQL • Scala • ETL/ELT • 7 days ago
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Salary
≈ $80k – $207k per year (Estimated)
Location
In office (Rishon LeZion)
Seniority
Senior · 3+ years exp

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 5, 2026.

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Company
Impact
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OnTarget

OnTarget is a recruitment firm that advertises technology, engineering and legal roles for clients in Israel and Switzerland. Its vacancies include big data team leads, aerospace composite engineers, metallurgy process engineers and corporate lawyers. The firm is based in Bulgaria.
ontarget.bg • Chesterfield • Stans • Basel • Dallas • Bengaluru • IT Staffing & Staff Augmentation • Recruiting & Staffing
Tech stack of OnTarget

Scope: Full Time

Model: Onsite

Location: Rishon LeZion

Industry: Software & Information Technology

Description:

Join a team where data powers innovation at scale. We're looking for a talented Big Data Engineer with a strong background in the cloud software industry to design, build, and optimize cutting-edge data platforms. If you thrive on solving complex challenges, working with massive datasets, and leveraging modern cloud technologies to drive business impact, we'd love to hear from you.

Responsibilities:

  • Develop and maintain scalable data pipelines and processing workflows.

  • Build and optimize data storage, ingestion, and transformation solutions.

  • Support large-scale data platforms and ensure data quality and reliability.

  • Collaborate with engineering and analytics teams on data-driven initiatives.

  • Monitor, troubleshoot, and improve system performance.

Requirements

Requirements

  • B.Sc. in Computer Science, Software Engineering, or a related field

  • 3+ years data engineering experience

  • Strong programming skills in Python, Java, Scala

  • Experience with

    • Cloud platforms and Big Data technologies

    • Spark, Kafka, Airflow, Hadoop

    • Docker, Kubernetes, and CI/CD practices

    • SQL, ETL processes, and distributed data system

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