Automation and Data Analytics Engineer
We are looking for an Automation & Data Analytics Engineer to build and operate an automated, AI-enabled vulnerability intelligence platform.This role is engineering-first and focuses on collecting data from security platforms/tools, normalizing and enriching large datasets, storing and analyzing data, enabling analytics, automation, and AI-driven prioritization. Security domain knowledge can be learned on the job, strong automation and data skills are essential.
How you will make an impact:
Automation & Integration
- Design and build automated data ingestion pipelines using APIs and event-driven workflows
- Integrate multiple data sources into a centralized analytics platform
- Implement robust error handling, retrieving, and data quality checks
- Automate scheduled and near-real-time data transfers
Data Engineering & Analytics
- Design scalable data models and schemas for structured and semi-structured data
- Normalize and correlate data from multiple sources
- Write optimized SQL for large datasets in BigQuery
- Enable analytics for trends, prioritization, and operational insights
AI & Intelligent Processing
- Support AI/ML workflows by:
- Preparing clean, high-quality datasets
- Implementing feature engineering logic
- Supporting model inputs and outputs
- Assist with intelligent ranking, clustering, and anomaly detection use cases
Platform Enablement
- Enable dashboards and reporting for engineering and leadership teams
- Support SLA tracking, metrics, and operational KPIs
- Improve performance, scalability, and reliability of the platform
Collaboration
- Work closely with:
- Security and vulnerability management teams
- Cloud and platform engineers
- Data and analytics stakeholders
- Patch management team
What we look for:
- Bachelor’s degree in computer science, Information Security, or a related field.
- 2 years of experience in automation, data engineering, or analytics engineering
We are looking for an Automation & Data Analytics Engineer to build and operate an automated, AI-enabled vulnerability intelligence platform.This role is engineering-first and focuses on collecting data from security platforms/tools, normalizing and enriching large datasets, storing and analyzing data, enabling analytics, automation, and AI-driven prioritization. Security domain knowledge can be learned on the job, strong automation and data skills are essential.
How you will make an impact:
Automation & Integration
- Design and build automated data ingestion pipelines using APIs and event-driven workflows
- Integrate multiple data sources into a centralized analytics platform
- Implement robust error handling, retrieving, and data quality checks
- Automate scheduled and near-real-time data transfers
Data Engineering & Analytics
- Design scalable data models and schemas for structured and semi-structured data
- Normalize and correlate data from multiple sources
- Write optimized SQL for large datasets in BigQuery
- Enable analytics for trends, prioritization, and operational insights
AI & Intelligent Processing
- Support AI/ML workflows by:
- Preparing clean, high-quality datasets
- Implementing feature engineering logic
- Supporting model inputs and outputs
- Assist with intelligent ranking, clustering, and anomaly detection use cases
Platform Enablement
- Enable dashboards and reporting for engineering and leadership teams
- Support SLA tracking, metrics, and operational KPIs
- Improve performance, scalability, and reliability of the platform
Collaboration
- Work closely with:
- Security and vulnerability management teams
- Cloud and platform engineers
- Data and analytics stakeholders
- Patch management team
What we look for:
- Bachelor’s degree in computer science, Information Security, or a related field.
- 2 years of experience in automation, data engineering, or analytics engineering