Engineering - Dallas - Associate, Security Engineering - 10427759
About The Position
Goldman Sachs Services LLC is seeking an Associate, Security Engineering in Dallas, Texas. This role involves designing, developing, and maintaining scalable data pipelines for security data across on-premises and AWS cloud environments. The position focuses on optimizing data models for real-time alerting, incident response, and cyber threat detection, implementing data quality monitoring, and automating deployments through CI/CD pipelines. Additionally, the role requires deploying and managing data systems using Kubernetes, performing security assessments for new projects, conducting application vulnerability assessments and penetration testing, and identifying security gaps. Collaboration with global security teams to enhance detection capabilities and research/implement new security tools are key aspects. The role also involves defining data requirements, resolving platform issues, contributing to architecture decisions, and communicating technical insights.
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.
- 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.
- 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.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
