Data Engineering Intern

2 weeks 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. Our client portals actively support over 3 million suppliers, and our software and audit services are built on our SmartVM database of over 20 million supplier records.

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. We value open and honest relationships with each other, our clients, and our communities. We look for team players who possess the qualities of being humble, hungry, and smart.

The Perks

We offer a competitive compensation package with tailored bonus plans and generous benefits, including health and insurance plans, a generous paid time off plan, 401k plan, flexible work schedules, wellness programs, and associate and customer referral bonus programs. We provide tools for our associates to grow and develop, including a strong Mentor Program, Internal Training Portal, Education, Tuition, and Certification Assistance.

Job Description

The Data Engineering Intern is responsible for developing and deploying containerized Python applications, managing 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.

Key Responsibilities
  • Develop, containerize, and deploy Python applications using Docker.
  • Manage Kubernetes clusters and build data pipelines.
  • Implement monitoring systems and work with large datasets.
  • Work with APIs and parallelize processes for efficient data handling.
Requirements
  • Currently pursuing a Master's or PhD degree in Computer Science, Data Science, or a related field.
  • Prior internship or work experience in a similar role or academic projects related to primary tasks mentioned is a plus.


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