Data Engineering Intern

Posted Yesterday
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Sofia, Sofia-grad
Internship
Big Data • Software
The Role
The Data Engineering Intern will work on ETL processes, support data architecture discussions, and develop data models and pipelines. Responsibilities include ensuring data quality, collaborating with data science teams, and creating data visualizations for internal use.
Summary Generated by Built In

PROS is seeking a talented and motivated Data Engineer Intern to join our dynamic team. This internship offers an excellent opportunity to gain hands-on experience in data engineering, work on real-world projects, and contribute to our data-driven initiatives.

This internship provides a holistic experience, allowing interns to target various aspects of data engineering. PROS encourages creativity, innovation, and collaboration.

 

Responsibilities:

  • Engineer ETL processes gathering external data into the PROS Data Platform.
  • Collaborate with the Data Platform and Data Science teams to set up and maintain various ETL processes for our internal data warehouse.
  • Identify and guide internal, data-guided process improvement analyses across cross-functional groups.
  • Code and construct analyses and data visualizations to expose operational data internally.
  • Work closely with other engineers and data scientists to ensure data quality, consistency, and reliability.
  • Assist in developing and maintaining data pipelines, data models, and databases.
  • Participate in discussions related to data architecture and design.

 

Qualifications:

  • Pursuing a degree in Computer Science, Data Science, Information Systems, or a related field.
  • Strong programming skills in languages such as Python and SQL.
  • Familiarity with ETL processes, data modeling, and database management.
  • Experience with data visualization tools (e.g., Tableau, Power BI, or Matplotlib).
  • Excellent problem-solving abilities and attention to detail.
  • Passion for working with data and a desire to learn and grow in the field of data engineering.

Why PROS?

PROS culture and the truly extraordinary people who work here are at the very core of our success. We have a passion for what we do, and we won’t stop until we’ve delivered on our promises. We’re committed to the success of our customers. That’s why we think harder and dream bigger – so our customers can go even further than they ever imagined possible.

This is a unique opportunity to join a company that has 30+ years of proven success with a long runway of more success.

Our people make PROS stand out from the rest. If you want to be a part of something truly extraordinary, come help us shape the future of how companies compete and win in their markets.

Work Environment:

Most work activities are performed in an office or home-office environment and require little to moderate physical exertion. Work activities may require periods of extended hours, critical deadlines and stressful situations. To successfully complete the tasks of this position, individuals must be able to communicate clearly (in writing and orally), comprehend business terminology, interpret numerical data.

This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position.

Top Skills

Python
SQL
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The Company
HQ: Houston, TX
2,450 Employees
On-site Workplace
Year Founded: 1985

What We Do

PROS (NYSE: PRO) provides AI-based solutions that power commerce in the digital economy. Using artificial intelligence, PROS accelerates customers' ability to embrace digital selling and eCommerce channels. With predictive and prescriptive guidance, companies are enabled to dynamically price, configure and sell their products and services across all channels with speed, precision, and consistency. PROS customers, who are leaders in their markets, benefit from decades of data science expertise infused into our industry solutions. To learn more, visit pros.com

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