Cloud Security Data Engineer - SIEM & ETL

CACI; San Antonio (TX); On-site; USD 86,000 - 180,000; Full time

Job summary

CACI seeks a senior data engineer to architect and optimize cloud data pipelines supporting security analytics across ACAS, Elastic, and Splunk. You will design and maintain ETL/ELT processes, integrate diverse data sources, and ensure data quality within secure environments.

Collaborate with cybersecurity teams to translate requirements into scalable data solutions, implement IaC, and contribute to dashboards and reporting for real-time insights and automation across platforms.

Qualifications

• 7+ years of experience in cloud computing, data engineering, integration, and ETL pipeline development.
• Experience with ACAS (Tenable/Nessus), data visualization tools (Elasticsearch, Logstash, Kibana, Splunk), and IT asset management tools.
• Strong proficiency in Python, PowerShell, or Bash for data manipulation and automation.
• Experience with APIs, data connectors, and log ingestion frameworks.
• Familiarity with SQL and NoSQL databases.

Responsibilities

• Architect cloud environments within classified CSP regions and deploy/manage CSP services using Terraform, CloudFormation, and Ansible.
• Design, develop, and maintain ETL/ELT pipelines for ingesting and transforming data into ACAS, Elastic, and Splunk deployments within a cloud environment.
• Integrate diverse data sources into centralized analytics environments.
• Manage data workflows, ensuring accuracy, consistency, and compliance with data management policies.
• Implement data quality checks, normalization, and enrichment processes to enhance analytical outcomes.
• Collaborate with cybersecurity teams to translate analytical requirements into scalable data solutions.
• Optimize data ingestion performance and automate recurring data management tasks using scripting or orchestration tools.
• Monitor, troubleshoot, and resolve data pipeline and integration issues across platforms.
• Maintain data schemas, metadata, and documentation for cross-team visibility.
• Ensure compliance with data security and privacy standards in all engineering processes.
• Contribute to the development of dashboards, visualizations, and reporting solutions powered by Elastic and Splunk

Skills

Cloud computing

ETL pipelines

Python

PowerShell

Bash

APIs

SQL

NoSQL databases

Elasticsearch

Splunk

ACAS (Tenable/Nessus)

Automation scripting

Education

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field

Tools

Terraform

CloudFormation

Ansible

Job description

CACI seeks a senior data engineer to architect and optimize cloud data pipelines supporting security analytics across ACAS, Elastic, and Splunk. You will design and maintain ETL/ELT processes, integrate diverse data sources, and ensure data quality within secure environments.

Collaborate with cybersecurity teams to translate requirements into scalable data solutions, implement IaC, and contribute to dashboards and reporting for real-time insights and automation across platforms.