About SportsBiz
At SportsBiz, we leverage the power of data to revolutionize the sports industry. From empowering teams to optimize performance to enabling brands (and agencies) to better engage with their audiences, our advanced data analytics solutions are at the forefront of innovation. We are passionate about creating products that make a real impact, combining cutting-edge technology with a deep understanding of sports and business.
As a growing leader in the data analytics space, SportsBiz offers an exciting environment for professionals eager to shape the future of sports through data-driven insights and solutions.
PLEASE NOTE: The entire SportsBiz team is working for both equity shares in the business and routine cash stipends. Major individual high net worth, angel family office investors are part of SportsBiz’s investor base. Full salaries, however, will be paid upon the company’s completing its fundraising efforts anticipated in Q2.
Job Description:
We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing and implementing the SportsBiz Data Platform with an emphasis on data ingestion, processing and consumption of data assets by Data Science, Engineering and Product teams.
Full-Time Responsibilities:
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Design, develop, and maintain data pipelines for the SportsBiz Data Platform including data collection, cleansing, processing and storage.
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Automate data collection, data testing and deployment processes.
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Implement monitoring and logging systems to ensure data collection and enrichment processes run smoothly in production.
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Collaborate with engineering, data science and product around solutions and products.
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Develop and maintain documentation for both pipelines and infrastructure.
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Develop data applications and services using Python aligning with our business needs and technical requirements.
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Collaborate with cross-functional teams to understand their data needs and provide technical guidance and support.
Qualifications:
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Bachelor's or Master's degree in Data Science, Computer Science, or a related field
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Very strong programming skills in Python
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Advanced SQL skills and ability to transform data in dbt
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Experience with AWS Cloud infrastructure
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Experience with web scraping, interfacing with APIs, and other data collection methods
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Understanding of ETL/ELT Architecture and Data Warehousing Patterns
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Strong written and verbal communication skills
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Willingness and ability to learn new skills, tools, and business domains quickly on the job
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Must be highly adaptable with excellent problem-solving skills and able to work with minimal supervision
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Knowledge of recommender engines
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Experience in a startup environment is a plus
Benefits:
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Opportunities for professional development and career growth.
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Flexible working hours and remote work options.
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Dynamic and innovative work environment.
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Performance bonuses.
Salary:
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
