Data Engineering Intern

1 day ago

Greensboro, North Carolina, United States APEX Analytix Full time
About Us

APEX Analytix is a leading provider of trusted supplier data, supplier portal software, controls, audit, and analytics software, and AP recovery audit services. We protect over $5 trillion in spend and prevent or recover over $3 billion in overpayments annually, and our client portals actively support over 3 million suppliers. Our software and audit services are built on our SmartVM database of over 20 million supplier records with contacts, scored for accuracy and age, based on integration with over 650 external data sources and over 10 million communications with suppliers each year.

Our Culture

We live our culture of performance, respect, candor, and fun. Performance is measured by delivering value to our clients, generating goodwill, trust, and partnership. Sincere respect for each other, our diverse backgrounds, and our well-being are our cornerstones. We value open and honest relationships with each other, our clients, and our communities. And life is too short to not have fun. We look for team players who possess the qualities of being humble, hungry, and smart.

The Perks

We owe our growing success to our team of bright, passionate, and innovative individuals. We truly value our associates and strive to provide the highest quality benefits program, offering competitive compensation packages with tailored bonus plans and generous benefits. Our benefits include health and insurance plans, a generous paid time off plan, 401k plan, flexible work schedules, wellness programs, associate and customer referral bonus programs, and paid community hours.

Job Description

The Data Engineering Intern is responsible for developing and deploying data applications, deploying into Kubernetes clusters, and building data pipelines. This role involves working with large datasets, implementing monitoring systems, and optimizing data handling processes. The intern will be part of a dynamic team, driving our data-driven culture forward with innovative solutions.

The Work
  • Design, develop, and deploy containerized applications to our Kubernetes cluster.
  • Ensure scalability, reliability, and performance of deployed applications.
  • Work with Large Language Models (LLMs) to develop and integrate AI-powered features into our products.
  • Collaborate with data scientists to develop and deploy data pipelines, architectures, and tools that support our AI products.
  • Troubleshoot and resolve issues related to data pipelines, architectures, and tools.
  • Build UI applications using Streamlit or a similar framework to create product prototypes and gather feedback from users.
  • Stay up to date with industry trends, best practices, and emerging technologies in AI, data engineering, and cloud computing.
The Must-Haves
  • Currently pursuing a bachelor's degree or higher in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field or Associate degree holders with relevant skills and experience.
  • Strong programming skills in Python, with experience in data engineering, data science, or a related field.
  • Experience with SQL and database management systems.
  • Knowledge of Large Language Models (LLMs) and their applications in AI product development.
  • Familiarity with containerization using Docker and Kubernetes.
  • Familiarity with natural language processing, text analysis, and machine learning.
  • Excellent problem-solving skills, with the ability to work independently and collaboratively.
  • Strong communication and documentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Prior Experience a Plus

Prior internship or work experience in a similar role or academic projects related to primary tasks mentioned is a plus.

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