Security Data Engineer: Real-Time Pipelines & Cloud

Goldman Sachs; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Goldman Sachs in Dallas, TX is seeking an Associate, Security Engineering to design, develop, and maintain scalable data ingestion and processing pipelines that collect and transform large volumes of security event data for threat detection and analytics.

The role covers batch and streaming workflows, data models and warehouse structures, CI/CD automation, and deploying across on‑prem and AWS with Kubernetes.

Qualifications

• Design, deploy, and maintain data pipelines across on-prem and cloud environments.
• Implement and support distributed data technologies for real-time and batch processing.
• Collaborate with security, analytics, and data science teams to ensure data quality and monitoring.

Responsibilities

• Design, develop, and maintain scalable data pipelines for security telemetry.
• Build batch and streaming workflows for timely data delivery to analytics.
• Develop data models and warehouses to support reporting and data science.
• Create CI/CD pipelines to automate testing, building, and deployment.
• Collaborate with threat management, detection engineering, and analytics teams to configure and monitor data streams.
• Scale data infra across on-prem and AWS using Kubernetes.

Skills

Data pipelines

Python

CI/CD

Security engineering

Real-time processing

Education

Master's degree in Cyber Security / Computer Engineering / Data Science

Bachelor's degree in Cyber Security / Computer Engineering / Data Science

Tools

Spark

Kafka

Kubernetes

BigQuery

AWS

Job description

Goldman Sachs in Dallas, TX is seeking an Associate, Security Engineering to design, develop, and maintain scalable data ingestion and processing pipelines that collect and transform large volumes of security event data for threat detection and analytics.

The role covers batch and streaming workflows, data models and warehouse structures, CI/CD automation, and deploying across on‑prem and AWS with Kubernetes.