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Benefits & Perks
•Parental leave
•401(k) matching
•Competitive salary and equity package
•Team events and activities
•Generous paid time off and holidays
Required Skills
Node.js
JavaScript
PostgreSQL
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
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Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
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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.
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Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
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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
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**Experience:**5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments.
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Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases.
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Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD.
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AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS.
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Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow.
Preferred Qualifications
- Containerization & DevOps: Familiarity with Docker, Kubernetes (K8S), and Terraform.
Modern Data Stack:
Familiarity with the following tools is an advantage: Kafka**,Databricks,Airflow,Snowflake,**MongoDB,**Open Table Format (Iceberg/**Delta)
- ML/AI Infrastructure: Experience building and designing ML/AI-driven production infrastructures and pipelines.
About Axonius:
Axonius transforms cyber asset intelligence into actionability. With the Axonius Asset Cloud, customers preemptively tackle high-risk and hard-to-spot threat exposures, misconfigurations, and overspending. The integrated platform brings together data from every system in an organization’s IT infrastructure to optimize mission-critical risk, performance, and cost measures via actionable intelligence.
Covering cyber assets, software, SaaS applications, identities, vulnerabilities, infrastructure, and more, Axonius is the one place to go for Security, IT, and GRC teams to continuously drive actionability across the organization. Cited as one of the fastest-growing cybersecurity startups, with accolades from CNBC, Forbes, and Fortune, Axonius supports millions of assets for leading customers across industries and around the world.
Axonius makes it a priority to invest in our people with competitive compensation and benefits, growth opportunities, community-building, and so much more. Learn more about benefits at Axonius.
At Axonius we support a diverse and inclusive workplace and believe in equal employment opportunity. We welcome people of different backgrounds, experiences, abilities and perspectives to apply. All qualified applicants will receive consideration for employment without regard torace, color, ancestry, religion, age, sex, gender identity, national origin, sexual orientation, citizenship, marital status, disability, or Veteran status.
By submitting your application to us, you acknowledge that your personal data will be processed in accordance with our Global Job Candidate Privacy Notice.
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About Axonius

Axonius
Series DAxonius provides a cybersecurity asset management platform that gives organizations a comprehensive inventory of all devices and users across their IT infrastructure. The platform helps security teams discover, manage, and secure all connected assets through automated data collection and analysis.
201-500
Employees
New York
Headquarters
$2.6B
Valuation
Reviews
4.0
40 reviews
Work Life Balance
4.0
Compensation
3.9
Culture
4.2
Career
4.0
Management
3.6
79%
Recommend to a Friend
Pros
Interesting projects and challenges
Good work-life balance and flexible environment
Competitive compensation and benefits
Cons
Career progression could be clearer
Some organizational bureaucracy
Room for improvement in processes
Salary Ranges
0 data points
Junior/L3
L2
L3
L4
L5
L6
Junior/L3 · Data Scientist
0 reports
$183,152
total / year
Base
-
Stock
-
Bonus
-
$155,679
$210,625
Interview Experience
42 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Offer Rate
41%
Experience
Positive 62%
Neutral 27%
Negative 11%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
News & Buzz
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