Internal Audit-IA Data Strategy & Analytics-New York-Associate

Goldman Sachs • New York, NY

13d • Onsite

About The Position

This role focuses on designing, developing, testing, and maintaining Python-based applications, services, and automation to support analytical and audit workflows. The position involves building secure RESTful APIs, developing user interfaces with React and JavaScript, designing data models, and writing efficient SQL. The role also includes managing source control, code reviews, and CI/CD pipelines using GitLab, as well as deploying applications to containerized environments. A key aspect is championing engineering quality through various testing methodologies and collaborating with stakeholders in an Agile/Scrum setting.

Requirements

• Bachelor's degree (or higher) in Computer Science, Engineering, or a related technical discipline.
• 3-5 years of professional software engineer experience.
• 3-5 years of strong, hands-on Python development experience building production applications and exposure to data analytics tooling (pandas, NumPy).
• 1-2 years of hands-on experience building UIs with React and modern JavaScript.
• Solid SQL skills and a good understanding of data modelling concepts- normalization, relational/dimensional design, schema evolution, and query performance.
• Hands-on experience with GitLab and strong grasp of core Git concepts (branching strategies, merge requests, rebasing, conflict resolution) plus practical exposure to CI/CD pipelines.
• Demonstrated experience implementing unit tests, integration tests, and applying Test-Driven Development.
• Proven track record operating in a fast-paced Agile/Scrum setup with a global/remote team.

Nice To Haves

• Experience designing and developing Flask-based REST APIs (or FastAPI/Django REST Framework).
• Working knowledge of deploying code to a Kubernetes cluster — building container images, writing/maintaining deployment manifests or Helm charts, and troubleshooting pods, services, and rollouts.
• Experience with containerization using Docker and automating deployments through CI/CD pipelines.
• Familiarity with API design best practices- versioning, authentication/authorization, pagination, error handling, and OpenAPI/Swagger documentation.
• Understanding of cloud platforms such as Snowflake.
• Prior experience in financial services, risk, or Internal Audit domains.

Responsibilities

• Design, develop, test, and maintain Python-based applications, services, and automation that power analytical and audit workflows.
• Build and expose well-documented, secure RESTful APIs (Flask or similar frameworks) that serve data to internal applications and downstream consumers.
• Develop responsive, intuitive user interfaces using React and JavaScript, translating business requirements and wireframes into production-grade components.
• Design and refine data models- logical and physical- and write efficient SQL to support reporting, analytics, and application needs.
• Manage source control, code reviews, and automated build/test/deploy workflows in GitLab, contributing to and improving CI/CD pipelines.
• Package and deploy applications to containerized environments, working with the platform team to promote code across environments reliably and repeatably.
• Champion engineering quality through unit tests, integration tests, and Test-Driven Development (TDD).
• Partner closely with product owners, and audit stakeholders in a global, distributed Agile/Scrum setting to deliver iteratively.
• Proactively identify opportunities to improve performance, reliability, maintainability, and developer experience.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level