Swishanalytics
Data Engineer Remote - San Francisco, CA
Swishanalytics, San Francisco, California, United States, 94199
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We seek team-oriented individuals with a passion for accurate and predictive real-time data who can operate in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
Job Description
Swish Analytics is seeking Senior Data Engineers to directly impact the infrastructure and delivery of core consumer and enterprise data offerings. We are a team focused on accurate predictions and real-time data, and we value building new products with the latest technologies.
This is a remote position. Duties Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production Build new sports betting data products and prediction offerings Integrate large and complex real-time datasets into new consumer and enterprise products Support production systems and help triage issues during live sporting events Contribute to the design and implementation of new, fully-automated sports data delivery frameworks Requirements BS/BA degree in Mathematics, Computer Science, or related STEM field Minimum of 5+ years of demonstrated experience writing production-level code (Python) Proficiency in Python and SQL (preferably MySQL); minimum of 5 years of experience Demonstrated experience with Airflow Demonstrated experience with Kubernetes Experience building end-to-end ETL pipelines Experience with version control (git), CI/CD, shell scripting, and cloud infrastructures (AWS) Experience with web scraping and cleaning unstructured data Knowledge of data science and machine learning concepts Knowledge of sports betting Must have knowledge and understanding of NBA or NFL and the ability to apply knowledge of the sport to inform work with complex datasets Equal Opportunity Swish Analytics is An Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic information, military or veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.
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Swish Analytics is seeking Senior Data Engineers to directly impact the infrastructure and delivery of core consumer and enterprise data offerings. We are a team focused on accurate predictions and real-time data, and we value building new products with the latest technologies.
This is a remote position. Duties Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production Build new sports betting data products and prediction offerings Integrate large and complex real-time datasets into new consumer and enterprise products Support production systems and help triage issues during live sporting events Contribute to the design and implementation of new, fully-automated sports data delivery frameworks Requirements BS/BA degree in Mathematics, Computer Science, or related STEM field Minimum of 5+ years of demonstrated experience writing production-level code (Python) Proficiency in Python and SQL (preferably MySQL); minimum of 5 years of experience Demonstrated experience with Airflow Demonstrated experience with Kubernetes Experience building end-to-end ETL pipelines Experience with version control (git), CI/CD, shell scripting, and cloud infrastructures (AWS) Experience with web scraping and cleaning unstructured data Knowledge of data science and machine learning concepts Knowledge of sports betting Must have knowledge and understanding of NBA or NFL and the ability to apply knowledge of the sport to inform work with complex datasets Equal Opportunity Swish Analytics is An Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic information, military or veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.
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