Engineering - Dallas - Associate, Security Engineering

Goldman Sachs; Dallas (WV); On-site; USD 130,000 - 190,000; Full time

Job summary

Goldman Sachs Associates in Dallas design, develop, and maintain scalable batch and streaming pipelines to collect, transform, enrich, and load large volumes of security data across on‑premises data centers and AWS cloud environments.

They optimize data models and schemas to support real‑time alerting, incident response, analytics, and data science related to cyber threat detection. They enforce data quality, observability, and CI/CD for automated testing and deployment.

Qualifications

• Master’s or Bachelor’s degree in a related field with relevant security and data engineering focus.

Responsibilities

• Design, develop, and maintain scalable batch and streaming pipelines for large volumes of security data across on‑prem and AWS.
• Optimize data models, schemas, and data warehouse structures for real‑time alerting and analytics.
• Implement data quality monitoring, alerting, and observability for reliable pipelines.
• Develop and maintain CI/CD pipelines to automate testing, deployment and delivery of data apps and infra.
• Deploy and scale data systems with Kubernetes for high availability and fault tolerance.
• Perform security assessments, vulnerability reviews, and crypto‑enabled design choices.
• Collaborate with security teams on telemetry and detection tooling improvements.
• Evaluate data engineering and security tools via PoCs and recommend enhancements.
• Work with cross‑functional teams to define data requirements and resolve platform issues.

Skills

Kafka

Apache Spark

SQL

Python

Kubernetes

CI/CD

Threat modeling

Penetration testing

OWASP CWE

Data modeling

Education

Master’s degree in Cyber Security or Computer Science

Bachelor’s degree in Cyber Security or Computer Science

Tools

Trino

Hive

BigQuery

AWS

On-premises

Job description

Job Duties

Associate, Security Engineering with Goldman Sachs Services LLC in Dallas, Texas. Design, develop, and maintain scalable batch and streaming pipelines to collect, transform, enrich, and load large volumes of security data across on-premises data centers and Amazon Web Services (AWS) cloud environments. Develop and optimize data models, schemas, and data warehouse structures to support real-time alerting, incident response, analytical reporting, and data science initiatives related to cyber threat detection. Implement data quality monitoring, alerting, and observability to ensure reliable, accurate, and uninterrupted data pipelines. Develop and maintain Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate testing, deployment, and delivery of data applications and infrastructure. Deploy, administer, and scale data systems and infrastructure using container orchestration tools such as Kubernetes to support high-availability, fault-tolerant data processing at enterprise scale. Perform security assessments of business-initiated projects to enforce secure design, including data models, cryptography, and regulatory compliance. Perform application vulnerability assessments, penetration testing, and code/architecture reviews for web applications. Identify security gaps and advise on controls for client/server, cloud, web, and mobile systems, including third‑party integrations against firm policies and standards. Partner with global security teams to enhance telemetry, detection tools, and overall cyber defense capabilities. Research, evaluate and implement data engineering and security tools through proof‑of‑concepts and recommend solutions that improve platform capabilities, scalability, and efficiency. Collaborate cross‑functionally to define data requirements, manage data streams, and resolve platform issues. Contribute to architecture decisions and communicate technical insights, risks, and status clearly.

Job Requirements

Master’s degree (U.S. or foreign equivalent) in Cyber Security, Computer Science, Computer Engineering or a related field and one (1) year of experience in the job offered or a related Security Engineering role OR Bachelor’s degree (U.S. or foreign equivalent) in Cyber Security, Computer Science, Computer Engineering or a related field and three (3) years of experience in the job offered or a related Security Engineering role. Prior work experience must include one (1) year of experience (with a Master’s degree) or three (3) years of experience (with a Bachelor’s degree) with each of the following: technical understanding of both application and infrastructure architecture and security (on premise and Cloud); working with application security best practices including OWASP and CWE; working with application security vulnerabilities and controls to remediate risks; assessing and mitigating software security threat vectors, threat modeling, attack surface analysis, security design reviews, source code reviews, penetration testing or vulnerability assessments; working in shift left environment to help embed security in Design phase to implement security controls within system architecture; conducting infrastructure or application security risk assessments; and design, development, and optimization of large-scale distributed data ingestion, transformation, and processing pipelines using Apache Kafka, Apache Spark (batch and streaming), SQL, and Python, including data modeling and schema design across platforms such as Trino, Hive, and BigQuery.

©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.