Data Engineer

Data Engineer
Level
Middle
Department
Development
Type
Full Time
Project
NDA
Locations:
Israel
Haifa
Office
Job Details
Posted on:
May 12, 2026
About the Company
Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.
About the Project

We are looking for an experienced Data Engineer to join the Data Platforms domain, working with advanced technologies.

The role includes responsibility for data ingestion, processing, and analysis, as well as developing data-driven applications on top of the Splunk platform (such as dashboards, analytics, and alerts).

Required skills:
Proven experience as a Data Engineer, including ETL processes, data pipelines, and integration across diverse data sources
Knowledge and experience working with Linux systems
Proficiency in scripting languages such as Python and Shell
Familiarity with developing data-driven applications (dashboards, reports, analytics, or monitoring systems)
Experience working with Splunk – a significant advantage
Experience with additional data analytics technologies (e.g., ELK, Grafana, Power BI, etc.) – an advantage
Bachelor’s degree in Information Systems, Computer Science, or a related field – an advantage
Scope of work:
Develop and implement data pipeline processes and manage data flow between different systems, ensuring data integrity, accuracy, and efficient handling for all data types
Implement business logic within the Splunk platform, including dashboards, visualizations, complex analytics, and alerts
Manage and maintain the technological solution in a Linux environment, including installation, upgrades, maintenance, and configuration
Integrate with additional systems and consume data via APIs or dedicated interfaces