Senior Data Infra Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

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 source-linked preview and links to the original posting.