Data Engineer - Research and Development

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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

We are seeking a talented and motivated Data Engineer to join our Research & Development team within Baseball Operations. In this role, you will play a critical part in designing, building, and maintaining the data infrastructure that powers the software and research models we use to make baseball decisions every day. The accessible, reliable, and efficient data pipelines you build will enable our analysts, coaches, and front office staff to make informed decisions that influence player acquisition, improvement, and deployment decisions. You will work with data from cutting-edge technologies, including markerless motion capture, biomechanical assessments, and real-time player tracking systems.

Why You Should Join Us:

Drive the Pirates to make better baseball decisions. Be part of a culture that values creativity, learning, and collaboration. Collaborate with cross-functional teams to shape the future of baseball analytics. Access to cutting-edge data tools, technologies, and unique baseball datasets. Responsibilities:

Build and maintain scalable data pipelines to support baseball operations. Collaborate with analysts, data scientists, and engineers for seamless data integration. Manage and ensure data accuracy from diverse sources, including advanced technologies like markerless motion capture. Support the migration of data infrastructure to cloud-based platforms. Identify and implement improvements to data processing and storage. Qualifications:

Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent experience). Demonstrated proficiency in Python, SQL or Spark for data processing and analysis. Demonstrated experience with cloud-based data platforms (e.g., AWS, GCP, or Azure) and data warehousing technologies (e.g., Snowflake or Databricks Lakehouse). Demonstrated familiarity with data pipeline orchestration tools (e.g., Airflow, dbt). Demonstrated problem-solving skills and attention to detail. Demonstrated database design and DevOps experience is a plus. Demonstrated passion for baseball or other sports is a plus.