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Title

Senior 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 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.

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.

Job Summary

The Pittsburgh Pirates are seeking a senior software engineer with expertise in data infrastructure for machine learning. This position, which is open to remote, local, or hybrid work arrangements, requires hands-on experience in ingesting, processing, warehousing, and distributing structured and unstructured data, including TB size datasets. Join us in revolutionizing baseball systems!

Responsibilities:

  1. Build and manage data pipelines, ensuring real-time distribution of baseball data.
  2. Oversee the health of the data platform year-round, including during the off-season.
  3. Build and deploy machine learning models to curate and clean data, ensuring high data quality and integrity.
  4. Design, code, test, and deploy new datasets, as well as enhance and fix existing ones.
  5. Conduct thorough code reviews to ensure code quality, adherence to best practices, and scalability.
  6. Troubleshoot and communicate data ingestion and quality issues to stakeholders.
  7. Support analysts in Baseball R&D with the productionalization and maintenance of predictive models.
  8. Provide in-game support for users during the baseball season, sometimes during non-standard work hours.
  9. Track and report on operating metrics to monitor data platform performance.
 
Position Requirements

Required:

  1. Authorized to work lawfully in the United States.
  2. Bachelor's degree (or higher) in Computer Science or a related field.
  3. 3+ years of experience in software engineering, with expertise in data infrastructure for machine learning.
  4. Strong experience in ingesting, processing, and distributing large-scale structured and unstructured data sets, including TB size datasets.
  5. Ability to provide prompt support and resolution for data issues, while establishing processes for future problem prevention.
  6. Familiarity with at least one of the following popular cloud data vendors, such as Azure, AWS, or GCP.
  7. Working knowledge of infrastructure frameworks, including CICD, Airflow, and Git.
  8. Proficiency in Python, SQL, and Linux.
  9. Willingness to adhere to coding practices and follow team guidelines.
  10. Strong analytical skills and ability to thrive in a collaborative, fast-paced environment.

Desired:

  1. Expertise in building and deploying machine learning models for data curation.
  2. Experience with hybrid cloud technologies.
  3. Prior experience in or knowledge of baseball is a plus.
 
Location BBO Major League  
Full-Time/Part-Time Full-Time  
Shift Days  

This position is currently not accepting applications.

To search for an open position, please go to http://PittsburghPirates.appone.com



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