Software Engineer Associate — AI-Driven Data & Compliance

Goldman Sachs Group, Inc.; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Goldman Sachs is seeking a Compliance Engineering Software Engineer Associate in Dallas. You will collaborate across divisions to design end-to-end solutions, leveraging Java, Python, and big data technologies.

The role emphasizes AI-assisted development, code review, and productionizing AI outputs while maintaining regulatory compliance. You will work with teams on real-time processing, data lake/lakehouse ecosystems, and cloud data platforms like Snowflake, Spark, Hadoop, and Kafka,

Qualifications

• 3+ years of professional software development experience.
• Expertise in Java and/or Python development.
• Experience in automated testing and SDLC concepts.
• The ability to clearly express ideas and arguments in meetings and on paper.

Responsibilities

• Use AI-assisted tools to improve developer productivity and reduce cycle time.
• Apply AI to code generation, test creation and coverage.
• Debugging, root-cause analysis, and performance optimization.
• Validate and productionize AI-generated outputs to meet quality and security standards.
• Identify opportunities where AI tooling reduces manual effort and accelerates delivery.
• Collaborate with peers and reviewers across teams for quality gates.

Skills

Java development

Python development

Automated testing

SDLC concepts

Communication

Education

Bachelor's or Master's in CS/CE

Tools

Spark

Hadoop

Snowflake

Iceberg

Kafka

Kubernetes

SQL

Job description

Goldman Sachs is seeking a Compliance Engineering Software Engineer Associate in Dallas. You will collaborate across divisions to design end-to-end solutions, leveraging Java, Python, and big data technologies.

The role emphasizes AI-assisted development, code review, and productionizing AI outputs while maintaining regulatory compliance. You will work with teams on real-time processing, data lake/lakehouse ecosystems, and cloud data platforms like Snowflake, Spark, Hadoop, and Kafka,