AI-Powered Data Engineering Intern — Summer 2027

apexanalytix

Greensboro (NC)

Hybrid

USD 18,000 - 24,000

Full time

14 days+

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Job summary

apexanalytix is seeking a Data Engineering Intern to design, deploy, and optimize data apps within our Kubernetes environment. You will build data pipelines, work with AI features, and collaborate with data scientists on product-ready solutions.

The role emphasizes Python and SQL proficiency, familiarity with LLMs, NLP, and containerized workflows. This hands-on internship blends analytics with cloud-native engineering for real-world impact.

Qualifications

  • Pursuing a bachelor’s degree or higher in a related field or an associate degree with relevant skills.
  • Strong Python programming for data engineering/science tasks.
  • Experience with SQL and database management systems.
  • Familiarity with containerization using Docker and Kubernetes.
  • Knowledge of Large Language Models (LLMs) and AI product development.
  • Experience with NLP, text analysis or ML concepts.

Responsibilities

  • Design, develop, and deploy containerized apps to Kubernetes cluster.
  • Ensure scalability, reliability, and performance of deployed apps.
  • Work with LLMs to develop AI features for products.
  • Collaborate with data scientists to build data pipelines and tools.
  • Troubleshoot data pipelines and architectures.
  • Build UI prototypes using Streamlit or similar tech.

Skills

Python
SQL
LLMs
NLP
ML
Docker
Kubernetes

Education

Bachelor's degree or higher in CS/Data Science/Math/Engineering
Associate degree with relevant skills

Tools

Docker
Kubernetes

Job description

apexanalytix is seeking a Data Engineering Intern to design, deploy, and optimize data apps within our Kubernetes environment. You will build data pipelines, work with AI features, and collaborate with data scientists on product-ready solutions.

The role emphasizes Python and SQL proficiency, familiarity with LLMs, NLP, and containerized workflows. This hands-on internship blends analytics with cloud-native engineering for real-world impact.

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