Junior Full Stack Developer

UST

Frisco, TX0–3 yrs1d agovia LinkedIn

About the Role

UST is searching for a high-potential Junior Full Stack Developer to join their Data CoE, focused on building data-driven applications and platforms. This role is ideal for candidates with strong fundamentals and a passion for working at the intersection of application development and data engineering.

Key Responsibilities

  • Develop and maintain end-to-end full stack applications (frontend + backend).
  • Build scalable data-driven applications and APIs.
  • Integrate applications with enterprise data platforms (data lakes, warehouses, APIs).
  • Collaborate with data engineers, data scientists, and architects.
  • Participate in design discussions, code reviews, and debugging.
  • Ensure code quality, testing, and adherence to modern engineering practices (CI/CD).

Requirements & Tech Stack

  • Graduation Year: 2024, 2025 or 2026
  • GPA: 3.5
  • Frontend: React / Angular / Vue.js, HTML, CSS, JavaScript/TypeScript
  • Backend: Java / Python / Node.js
  • Databases: SQL (Postgres/MySQL) + NoSQL (MongoDB preferred)
  • APIs: REST / Microservices architecture
  • Cloud: Exposure to AWS / Azure / GCP
  • Tools: Git, CI/CD, Docker (good to have)

Data CoE Expectations

  • Build applications leveraging enterprise data platforms and large datasets.
  • Basic understanding of data pipelines, ETL, and data modeling concepts.
  • Ability to work with data APIs and analytics-driven use cases.
  • Exposure/interest in AI/ML-driven or data-centric applications (nice to have).

Qualifications

  • Bachelor’s/Master’s in Computer Science or related field.
  • Strong foundation in data structures, algorithms, and system design.
  • Key Competencies:
  • Strong problem-solving and analytical skills.
  • Ability to work in a fast-paced, collaborative environment.
  • Strong learning agility and ownership mindset.
  • Good communication (technical + business stakeholders).

Preferred Experience (Nice to Have)

  • Internship/work experience with leading tech/product companies.
  • Exposure to data platforms, analytics, or modern data ecosystems.
  • Contributions to open source, hackathons, or research projects.

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