Senior Data Engineer San Francisco, CA - Remote

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're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description The Swish Analytics team is seeking Senior Data Engineers to have direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest 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 predictions 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), 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
Knowledge of sports betting. An understanding of US-based sports including the NFL, NBA, MLB, NHL, Tennis, College Football/Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets
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, military, 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. Accepted file types: pdf, doc, docx, txt, rtf
Accepted file types: pdf, doc, docx, txt, rtf
LinkedIn Profile
Git Repo
Do you now or in the future require employer sponsorship to work in the USA? * Select...
What is your salary requirement? *
Education
School Select...
Degree Select...
U.S. Standard Demographic Questions We invite applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process.
How would you describe your gender identity? (mark all that apply) Select...
How would you describe your racial/ethnic background? (mark all that apply) Select...
How would you describe your sexual orientation? (mark all that apply) Select...
Do you identify as transgender? Select...
Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning? Select...
Are you a veteran or active member of the United States Armed Forces? Select...

#J-18808-Ljbffr