Senior Data Infra Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• 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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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Data Infra Engineer Tel Aviv, Israel Axonius is seeking a Senior Data Infra Engineer . 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 orchestration tools

Read the full description at www.axonius.com. FewerJobs shows a preview and links to the original posting.