Associate Security Engineer: Data Pipelines & Cloud

Goldman Sachs Group, Inc.; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical benefits

Retirement savings plan

On-site health centers

On-site childcare

Job summary

Goldman Sachs Group, Inc. in Dallas, TX is seeking an Associate in Security Engineering to design and maintain data pipelines for large-scale telemetry and security events.

You will work with Spark, Kafka, Kubernetes, and BigQuery to enable real-time alerting and incident response. The role involves developing automation with Python, deploying CI/CD for data apps, and collaborating across threat management, data science, and analytics teams to ensure reliable data streams and platform

Qualifications

• Master’s degree or Bachelor’s with years of related experience as specified in the job description.
• Experience deploying data pipelines across on-prem and cloud environments is required.
• Proficiency with distributed data technologies for real-time and batch processing.

Responsibilities

• Design, develop, and maintain scalable data ingestion and processing pipelines.
• Build CI/CD pipelines to automate testing, building, and deployment of data engineering applications.
• Deploy and manage data systems across on-premises and AWS cloud environments.
• Collaborate with threat management, analytics, and data science teams to configure and monitor data streams.

Skills

Data pipelines

Spark

Kafka

Kubernetes

Python

AWS

Education

Master's degree in Cyber Security, Computer Engineering, Data Science and Analytics, or related field

Bachelor's degree in Cyber Security, Computer Engineering, Data Science and Analytics, or related field

Tools

BigQuery

Cloud platforms

Job description

Goldman Sachs Group, Inc. in Dallas, TX is seeking an Associate in Security Engineering to design and maintain data pipelines for large-scale telemetry and security events.

You will work with Spark, Kafka, Kubernetes, and BigQuery to enable real-time alerting and incident response. The role involves developing automation with Python, deploying CI/CD for data apps, and collaborating across threat management, data science, and analytics teams to ensure reliable data streams and platform