AI-Powered Data Engineering Intern — Summer 2027

Apexanalytix

Greensboro (NC)

Hybrid

USD 18,000 - 24,000

Full time

2 days ago

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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

Docker

Kubernetes

Education

Bachelor's degree or higher in CS/Data Science/Math/Engineering

Associate degree with relevant skills

Tools

Docker

Kubernetes

Job description

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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