Full-Stack Web Platform Engineer at Oxford DataPlan | AE | Rezi

Full-Stack Web Platform Engineer at Oxford DataPlan

Full-Stack Web Platform Engineer

Oxford DataPlan · AE

1 weeks ago

Full-Stack Web Platform Engineer

Oxford DataPlan · AE

13 days ago
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About the Role

We are seeking a mid-level Full-Stack Web Platform Engineer to develop and enhance our web properties and internal tools. This role involves working with a Python backend and a React frontend, and you will be responsible for integrating our external CRM system(s) with our web applications to ensure client, lead, and account data remain synchronized. This is a fully remote position ideal for individuals who enjoy end-to-end feature ownership, including API design, data modeling, frontend implementation, and deployment.

Responsibilities

  • Design and build features across our full stack, including Python (Django/FastAPI/Flask) services and React/Next.js frontends.
  • Own the integration between our external CRM (e.g. HubSpot, Salesforce, or similar) and our web platform, including data sync pipelines, webhooks, and bidirectional updates.
  • Build and maintain REST/GraphQL APIs connecting frontend products to backend services and third-party data sources.
  • Collaborate with sales, client success, and product teams to ensure seamless data flow between the CRM and our platform.
  • Manage and extend integrations with external identity providers (e.g. Okta, Auth0, Azure AD) for client and internal authentication, including SSO/SAML/OAuth flows.
  • Contribute to platform architecture decisions regarding data modeling, caching, and API design.
  • Write clean, tested, maintainable code and participate in code reviews.
  • Help diagnose and resolve production issues across the stack.
  • Contribute to CI/CD and deployment practices (Docker, GitHub Actions, cloud infrastructure).

Requirements

  • 3–5 years of professional experience as a full-stack or web engineer.
  • Solid experience with Python (Django, FastAPI, or Flask) for backend/API development.
  • Solid experience with React (or Next.js) for frontend development.
  • Hands-on experience integrating a web application with an external CRM system (e.g., Salesforce, HubSpot) including data sync, webhooks, or API-based integrations.
  • Experience integrating with external identity providers for authentication (e.g., Okta, Auth0, Azure AD), including SSO, SAML, or OAuth2/OIDC flows.
  • Comfortable designing and consuming REST or GraphQL APIs.
  • Working knowledge of relational databases (MySQL preferred).
  • Familiarity with Git-based workflows, CI/CD, and containerized deployments (Docker).
  • Comfortable working with AI coding tools (e.g., Claude Code, GitHub Copilot, Cursor).
  • Strong communication skills and comfort working cross-functionally in a fully remote, async-friendly environment.
  • Experience in fintech, capital markets, or data/analytics products (Nice to Have).
  • Exposure to market data, time-series data, or financial reporting dashboards (Nice to Have).
  • Experience with cloud platforms (AWS preferred) (Nice to Have).
  • Familiarity with performance optimization and web accessibility best practices (Nice to Have).

Skills

  • Python
  • Django
  • FastAPI
  • Flask
  • React
  • Next.js
  • REST APIs
  • GraphQL APIs
  • CRM Integration
  • HubSpot
  • Salesforce
  • Identity Providers
  • Okta
  • Auth0
  • Azure AD
  • SSO
  • SAML
  • OAuth
  • OIDC
  • Relational Databases
  • MySQL
  • Git
  • CI/CD
  • Docker
  • AI Coding Tools
  • Claude Code
  • GitHub Copilot
  • Cursor
  • Cloud Platforms
  • AWS

Location

  • Remote

Work Type

  • Fully remote

Experience Level

  • Mid-level
  • 3-5 years of professional experience

Benefits

  • Competitive salary and bonuses

About the Company

  • Oxford Data Plan is an alternative data company helping investors, funds, and analysts uncover signal in non-traditional datasets.
  • The Web Platform is one of the key ways clients discover, evaluate, and access our data products.
  • Work on a platform that sits at the intersection of data, finance, and engineering.
  • Small, senior team with real ownership over architecture and product decisions.