Security Data Engineer: Scalable Pipelines & Threat Detection

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

Job summary

Goldman Sachs Services LLC in Dallas, Texas is seeking an Associate in Security Engineering to design, build, and maintain scalable batch and streaming data pipelines across on‑premise data centers and AWS. You will optimize data models and schemas to support real‑time alerting, incident response, and analytics for cyber threat detection.

The role emphasizes data quality, observability, CI/CD automation, and secure design reviews.

Qualifications

• Master’s degree in Cyber Security, Computer Science, Computer Engineering or related field with 1 year in security engineering or 3 years with Bachelor’s degree.
• Experience with security design reviews, threat modeling, and vulnerability assessments.
• Experience with data ingestion, transformation pipelines using Kafka/Spark and data models across Trino/Hive/BigQuery.

Responsibilities

• Design, develop, and maintain scalable batch and streaming data pipelines across on-prem and AWS environments.
• Develop data models, schemas, and data warehouse structures for real-time alerting and analytics.
• Implement data quality monitoring, observability, and CI/CD pipelines for data apps and infra.
• Deploy and scale data systems using Kubernetes for high availability.
• Perform security assessments, penetration testing, and code reviews for web apps and integrations.

Skills

Data engineering

Security engineering

Cloud security

Education

Master’s degree in Cyber Security/CS/Engineering

Bachelor’s degree in Cyber Security/CS/Engineering

Tools

Kafka

Spark

Python

SQL

BigQuery

Hive

Kubernetes

CI/CD

Job description

Goldman Sachs Services LLC in Dallas, Texas is seeking an Associate in Security Engineering to design, build, and maintain scalable batch and streaming data pipelines across on‑premise data centers and AWS. You will optimize data models and schemas to support real‑time alerting, incident response, and analytics for cyber threat detection.

The role emphasizes data quality, observability, CI/CD automation, and secure design reviews.