Software Engineer - AI-Driven Data & End-to-End Solutions

Goldman Sachs; Dallas (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

Goldman Sachs in Dallas seeks a software engineer to build end-to-end solutions across divisions, using Java, Python, PySpark, SQL, Hadoop, Snowflake, Kafka and Kubernetes. You will design, implement, test, deploy, and maintain software that handles large data sets and real-time processing.

You will apply AI-assisted tools like GitHub Copilot to accelerate development, participate in SDLC best practices, and collaborate with global partners to deliver secure, scalable analytics products.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or similar field.
• 3+ years of professional software development experience.
• Expertise in Java and/or Python development.
• Experience in automated testing and SDLC concepts.
• Ability to express ideas clearly in meetings and on paper.

Responsibilities

• Partner globally with sponsors, users and engineering colleagues to create end-to-end solutions.
• Learn from experts and leverage technologies across teams (Java, Python, PySpark, SQL, Hadoop, Snowflake, Iceberg, Kafka, Kubernetes).
• Apply analytical and functional skills to design surveillance processes to identify risks.
• Innovate and incubate new ideas and work on large data set problems including real-time processing and messaging.
• Be involved in the full software life cycle from design to deployment and maintenance.

Skills

Java

Python

PySpark

SQL

Hadoop

Snowflake

Iceberg

Kafka

Kubernetes

Education

Bachelor's or Master in Computer Science/Engineering

Tools

GitHub Copilot

Devin

Claude Code

Job description

Goldman Sachs in Dallas seeks a software engineer to build end-to-end solutions across divisions, using Java, Python, PySpark, SQL, Hadoop, Snowflake, Kafka and Kubernetes. You will design, implement, test, deploy, and maintain software that handles large data sets and real-time processing.

You will apply AI-assisted tools like GitHub Copilot to accelerate development, participate in SDLC best practices, and collaborate with global partners to deliver secure, scalable analytics products.