Senior Software Engineer- Data Engineering
Axonius - Tel Aviv, Israel
Posted Mar 10, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- 401(k) match
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Schedule
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- Weekend work
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Application
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About this role
Senior Software Engineer- Data Engineering Tel Aviv, Israel Axonius is seeking a Senior Software Engineer (Data Engineering) . You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company. Responsibilities - Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure. - Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations. - Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization. - Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data. Minimum Qualifications - Experience: 5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments. - Programming & Databases: Proficiency in one or more programming languages ( Python, Scala, Java, or Go ) and expertise in both SQL and NoSQL databases. - Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD . - AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS . - Streaming & Orchestration: Familiarity with Kafka and workflow
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