Bullpen Capital
Posted 74 days agoVerified live 1d ago
Data Engineer
Brief overview
Remote
UndergradOr in progress
$160k/yrStated minimum
2+ yrsMinimum
PythonSQLMySQLApache AirflowKubernetesETL pipelinesREST APIsGitContinuous integration and deploymentShell scriptingAWSWeb scrapingData cleaningData scienceMachine learningSports betting domain knowledge
About the company
Bullpen Capitalbullpencap.com
Bullpen is a venture capital fund that invests in post-seed capital into early-stage companies.
Job description
Summary
Bullpen Capital is a sports analytics, betting and fantasy startup focused on predictive sports analytics data products. They are seeking Data Engineers to enhance their core consumer and enterprise data offerings, with a focus on building systems that support sports betting products using the latest technologies.
Responsibilities
- Support production systems and help triage issues during live sporting events
- Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
- Build new sports betting data products and predictions offerings
- Integrate large and complex real-time datasets into new consumer and enterprise products
- Develop production-level predictive analytics into enterprise-grade APIs
- Contribute to the design and implementation of new, fully-automated sports data delivery frameworks
Skills
- BS/BA degree in Mathematics, Computer Science, or related STEM field
- Minimum of 2+ years of demonstrated experience writing production level code (Python)
- Proficiency in Python and SQL (preferably MySQL)
- Demonstrated experience with Airflow
- Demonstrated experience with Kubernetes
- Experience building end-to-end ETL pipelines
- Experience utilizing REST APIs
- Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
- Experience with web scraping and cleaning unstructured data
- Knowledge of data science and machine learning concepts
- A strong interest in sports and sports betting, with an emphasis on Tennis
- An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets
Qualifications
Must Haves
- BS/BA degree in Mathematics, Computer Science, or related STEM field
- Minimum of 2+ years of demonstrated experience writing production level code (Python)
- Proficiency in Python and SQL (preferably MySQL)
- Demonstrated experience with Airflow
- Demonstrated experience with Kubernetes
- Experience building end-to-end ETL pipelines
- Experience utilizing REST APIs
- Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
- Experience with web scraping and cleaning unstructured data
- Knowledge of data science and machine learning concepts
- A strong interest in sports and sports betting, with an emphasis on Tennis
- An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets
