Data Engineer, Hockey Analytics
6 days ago
Data Engineer, Hockey Analytics
Newark, NJ
WHO WE ARE:
Founded by Josh Harris and David Blitzer, Harris Blitzer Sports & Entertainment (HBSE) includes in its portfolio the Philadelphia 76ers, the New Jersey Devils, leading venue Prudential Center in Newark, N.J., the Delaware Blue Coats, and the Utica Comets. Led by some of the best and brightest minds across a diverse spectrum of industries, HBSE positions itself as one of the most pioneering, innovative global sports and entertainment businesses to date. HBSE also strives to positively impact the local communities in which it operates through the powerful platform of sports.
HBSE offers an energetic work environment built on collaboration, growth, and a quest to excel in everything we do. Prudential Center in downtown Newark, N.J. hosts more than 175 concerts, family shows and special events annually and is the fourth-ranked sports and entertainment venue in the U.S. by Pollstar and Billboard. It is home to the New Jersey Devils, a renowned NHL franchise with three Stanley Cup championships and a proud, passionate fan base.
The Philadelphia 76ers organization is one of the most storied franchises in American sports, led by some of the best and brightest minds across a diverse spectrum of industries, HBSE positions itself as one of the most pioneering, innovative global sports and entertainment businesses to date. The 76ers have attracted the industry’s top leadership talent from the NBA, NFL, NHL, MLB, MLS, UFC and NCAA, resulting in one of the most exciting, rewarding, and dynamic work environments within the sports industry. The 76ers offer a best-in-class workplace culture built on collaboration, growth, and a quest to excel in everything we do.OUR COMMITMENT TO DIVERSITY:
At HBSE, we engage, represent and reflect diverse voices of employees, players fans and communities. We are dedicated to hiring the best talent that is reflective of where we live, work and play – across all groups and levels; supporting and developing every employee to reach their potential; and creating an inclusive environment that allows team members to bring their true authentic selves to work.
Job Description
Overview of Role
Founded by Josh Harris and David Blitzer, Harris Blitzer Sports & Entertainment (HBSE) includes in its portfolio the Philadelphia 76ers, the New Jersey Devils, leading venue Prudential Center in Newark, N.J., the Delaware Blue Coats, the Utica Comets, and world-class e-sports franchise Dignitas. Led by some of the most promising and creative minds across a diverse spectrum of industries, HBSE positions itself as one of the most groundbreaking, innovative global sports and entertainment businesses to date. HBSE also strives to positively impact the local communities in which it operates through the powerful platform of sports.
HBSE offers an energetic work environment built on collaboration, growth, and a quest to excel in everything we do. Prudential Center in downtown Newark, N.J. hosts more than 175 concerts, family shows and special events annually and is the fourth-ranked sports and entertainment venue in the U.S. by Pollstar and Billboard. It is home to the New Jersey Devils, a renowned NHL franchise with three Stanley Cup championships and a proud, passionate fan base.
Position Overview:
The Data Engineer will work in the New Jersey Devils front office, supporting hockey decision-making at all levels: front office, coaching, and scouting. The role will marry a strong technical foundation with a passion to create a better understanding of the game of hockey. As a member of the analytics team, this person will be responsible for developing and maintaining processes that ingest, clean, and organize hockey data. The role requires a strong team-oriented approach that fits the self-starting, service oriented, performance driven culture of the organization.
Responsibilities include, but are not limited to the following:
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Management and optimization of the development and production infrastructure (servers, systems, software, workflow).
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Design and implementation of the data infrastructure underlying the organization’s data systems, including the processes for acquisition, validation, and integration of data.
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Research, evaluation, and integration of new data sources and technologies that expand the capabilities of the organization.
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Communication with analysts and Hockey Operations staff to understand the group’s data management and information needs.
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Documentation suitable for both internal and external communication.
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Contribute to the development of hockey thought and workflow optimization of the department and the holistic organization.
Qualifications (educational, experience, & basic knowledge requirements):
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Bachelor’s degree or higher in a technical discipline (computer science, engineering, etc.)
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Training in and/or experience with cloud-computing platforms (e.g. AWS, Snowflake, etc.)
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Training in and/or experience with data engineering, ETL processes, and database management (Python, SQL, dbt, etc.)
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Experience building data pipelines that support statistical analysis and machine learning
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Experience developing data quality monitoring/alert systems for data pipelines
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Familiarity with task orchestration and workflow automation tools such as Dagster
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Demonstrated passion for hockey and familiarity with hockey rules and terminology
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High attention to detail and willingness to dive deep into large datasets to identify problems
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Independent self-starter capable of operating with minimal guidance and a commitment to continuous improvement
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Have a growth mentality, eager to learn and develop within our team
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Focused on team results not individual accomplishment
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Embrace a dynamic, changing, diversified workload
Professional Qualifications:
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3+ years professional software development experience
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Passion for Sports and Entertainment experience in the athletic space
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Diverse projects and experience in multiple business functions
Travel Requirements
Limited travel will be required; trips will require air travel and/or overnight stay for one or more nights. (
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