Internal Audit, Data Strategy & Analytics, New York,Associate

Goldman Sachs

New York (NY)

On-site

USD 140,000 - 220,000

Full time

14 days+

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Job summary

Goldman Sachs is seeking a software engineer to design, develop, test, and maintain Python-based applications powering analytical workflows. You will build RESTful APIs with Flask, create responsive React UIs, and design data models with efficient SQL for reporting and analytics.

The role requires 3–5 years of software experience, strong Python skills, React front-end exposure, and solid DevOps with GitLab. Collaborative, Agile/Scrum teams across global regions work iteratively.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related technical discipline.
  • 3–5 years of professional software engineer experience.
  • Python: 3–5 years of strong, hands-on Python development experience (pandas, NumPy).
  • Front-End: 1–2 years building UIs with React and modern JavaScript.
  • SQL & Data Modelling: Solid SQL skills and data modelling concepts.
  • Version Control & DevOps: Hands-on with GitLab and CI/CD pipelines.
  • Testing: Experience with unit/integration tests and TDD.
  • Ways of Working: Fast-paced Agile/Scrum with global/remote teams.
  • Preferred: Flask-based REST APIs; Kubernetes; Docker; OpenAPI/Swagger.

Responsibilities

  • Design, develop, test, and maintain Python-based applications, services, and automation.
  • Build and expose secure RESTful APIs (Flask or similar) for internal apps.
  • Develop responsive UIs using React and JavaScript.
  • Design data models and write efficient SQL for reporting and analytics.
  • Manage GitLab, code reviews, and CI/CD workflows.
  • Package and deploy to containerized environments with platform teams.
  • Champion engineering quality with unit/integration tests and TDD.
  • Collaborate with product owners and audit stakeholders in Agile/Scrum.

Skills

Python
Front-End
SQL & Data Modelling
Version Control & DevOps
Testing
Agile/Scrum

Education

Bachelor's degree in Computer Science, Engineering, or related technical discipline

Tools

GitLab
CI/CD pipelines
Flask-based REST APIs
Kubernetes
Docker
OpenAPI/Swagger
Snowflake
REST APIs

Job description

What You'll Do
  • 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.
Required Qualifications
  • Education: Bachelor's degree (or higher) in Computer Science, Engineering, or a related technical discipline.
  • Overall Experience: 3- 5 years of professional software engineer experience.
  • Python: 3- 5 years of strong, hands‑on Python development experience building production applications and exposure to data analytics tooling (pandas, NumPy).
  • Front-End: 1- 2 years of hands‑on experience building UIs with React and modern JavaScript.
  • SQL & Data Modelling: Solid SQL skills and a good understanding of data modelling concepts- normalization, relational/dimensional design, schema evolution, and query performance.
  • Version Control & DevOps: 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.
  • Testing: Demonstrated experience implementing unit tests, integration tests, and applying Test-Driven Development.
  • Ways of Working: Proven track record operating in a fast-paced Agile/Scrum setup with a global/remote team.
Preferred / Good to Have
  • 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.
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