Entry Level Streaming Data Engineer Jobs in Dallas, TX

Engineering - Dallas - Associate, Security Engineering - 10427751 location_on Dallas, TX, United States

Job Duties: Associate, Security Engineering with 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. Design and implement data models, schemas, and data warehouse structures to organize and correlate high-volume event data from multiple sources, supporting analytical reporting, data science initiatives, and operational decision-making. Build and maintain data quality monitoring frameworks, alerting systems, and observability dashboards to ensure pipeline reliability, accuracy, completeness, and performance, guaranteeing that critical data streams remain uninterrupted for continuous monitoring. Develop and maintain Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate the testing, building, and deployment of data engineering applications and infrastructure components, ensuring rapid and reliable delivery of platform updates. Deploy, administer, and scale data systems and infrastructure across on-premises data centers and Amazon Web Services (AWS) cloud environments using container orchestration tools such as Kubernetes to support high-availability, fault-tolerant data processing at scale. Research, evaluate, and implement best-in-class data engineering tools and technologies by conducting Proof-of-Concept activities and recommending solutions that improve platform capabilities, scalability, and efficiency. Collaborate with cross-functional teams — including threat management, detection engineering, data science, and analytics teams — to gather data requirements, define data contracts, and ensure data streams are effectively configured and monitored. Coordinate with product owners and third-party vendor support teams to elicit technical requirements and resolve platform issues. Participate in architecture and design discussions to develop solutions that advance the organization's data infrastructure and analytical maturity for processing and analyzing large-scale enterprise telemetry data.

Job Requirements:Master’s 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 Bachelor’s 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 Master’s degree) or three (3) years of experience (with a Bachelor’s 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 BigQuery 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.

• We offer a wide range of health and welfare programs that vary depending on office location.
• These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.

• We offer competitive vacation policies based on employee level and office location.
• We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

• We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected.
• We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

• We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP).
• We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program.
• We also offer state-of-the-art on-site health centers in certain offices.

• To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).

• We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms.
• In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave.
• Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

• Read more about the full suite of class-leading benefits our firm has to offer.