Assoc, Security Engineering

Associate, Security Engineering w/ Goldman Sachs Services LLC in Dallas, Texas. Design, develop, and maintain scalable data ingestion and processing pipelines to collect, transform, enrich, and load large volumes of structured and semi-structured data from diverse sources into a centralized big data platform, enabling the organization to detect and analyze malicious cyber threats and anomalous activity across its infrastructure. Develop and optimize both batch and streaming data processing workflows to ensure timely and reliable delivery of security event data and telemetry to downstream analytics systems, supporting real-time alerting and incident response capabilities. Requires: Masters degree (U.S. or foreign equivalent) in Cyber Security, Computer Engineering, Data Science and Analytics, or a related field and one (1) year of experience in the job offered or a related security or data engineering role OR Bachelors degree (U.S. or foreign equivalent) in Cyber Security, Computer Engineering, Data Science and Analytics, or a related field and three (3) years of experience in the job offered or a related security or data engineering role. Prior work experience must include one (1) year of experience (with a Masters degree) or three (3) years of experience (with a Bachelors degree) with each of the following: designing, deploying, and maintaining data pipeline systems and ingestion frameworks across on-premise and cloud environments; implementing and supporting distributed data technologies such as Spark, Kafka, Kubernetes, and Big Query or similar for real-time and batch data processing and analysis; developing automation and tooling using Python to support data monitoring, enrichment, and platform engineering workflows; building and supporting ETL and data ingestion pipelines to centralize large-scale event data into scalable big data infrastructure; implementing and administering AWS cloud infrastructure to enable reliable data processing and analytics capabilities; and collaborating cross-functionally with engineering, analytics, and data science teams to ensure systems and data streams are effectively configured and monitored. Job Code: 10427751.

QUALIFIED APPLICANTS: Apply at gs.com and click on "Careers." NO PHONE CALLS PLEASE. 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.

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