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Title

Fellow, Software Engineer - Data 

EOE Statement We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.  
Description

The Pirates Research and Development Team

We are a growing team committed to discovering new competitive advantages for the Pittsburgh Pirates. We are collaborative with high levels of communication, mentorship, inclusion, and engagement in ideas. We believe a diversity of perspectives is crucial to delivering championship-caliber R&D, and we encourage all interested candidates to apply if they meet some of the requirements or to reach out if they have questions about their qualifications.

The Pirates Why

The Pittsburgh Pirates are a storied franchise in Major League Baseball who are reinventing themselves on every level. Boldly and relentlessly pursuing excellence by:

  • purposefully developing a player and people-centered culture;
  • deeply connecting with our fans, partners, and colleagues;
  • passionately creating lifetime memories for generations of families and friends; and
  • meaningfully impacting our communities and the game of baseball.

At the Pirates, we believe in the power of a diverse workforce and strive to create an inclusive culture centered in Passion, Innovation, Respect, Accountability, Teamwork, Empathy, and Service.

Job Summary

The Pittsburgh Pirates are seeking a software engineering fellow with a passion for data engineering and machine learning to join their team. The ideal candidate should have a foundation in Python and SQL, as well as a keen interest in data engineering and a strong desire to further develop their skills in the realm of machine learning. Come be a part of our groundbreaking efforts to revolutionize baseball systems!

Responsibilities:

  1. Develop data pipelines to extract data from vendor APIs and integrate it into our internal data warehouse.
  2. Build and deploy machine learning models to transform data from various sources into unified data tables.
  3. Implement integrity checks to monitor the health and performance of the data platform.
  4. Work closely with analysts and baseball stakeholders to support their data needs.
 
Position Requirements

Required:

  1. Authorized to work lawfully in the United States.
  2. Bachelor's degree in Computer Science or a related field.
  3. Foundational knowledge in Python and SQL.
  4. Hands-on experience in building machine learning models.
  5. Experience in programming and object-oriented design.
  6. Commitment to adhering to coding practices and following team guidelines.
  7. Ability to collaborate effectively in a fast-paced, team-oriented environment.
  8. Passion for data engineering, machine learning, and the sports industry.

Desired:

  1. Familiarity with Linux operating system.
  2. Proficiency in Git version control.
 
Location BBO Major League  
Full-Time/Part-Time Contingent  
Shift Days  

This position is currently accepting applications.

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