Swish Analytics
Posted 75 days agoVerified live 2d ago
Data Engineer
Brief overview
Remote
UndergradOr in progress
$160k/yrStated minimum
2+ yrsMinimum
3 H-1B approvalsDept. of Labor
PythonSQLMySQLAirflowKubernetesETL pipelinesREST APIsGitContinuous integration and deploymentShell scriptingAWSWeb scrapingData cleaningData scienceMachine learningSports betting domain knowledge
About the company
Swish Analyticsswishanalytics.com
Swish Analytics operates as machine learning system for sports.
Visa sponsorship history
3 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.3H-1B approved
100%approval rate
$200,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20241
20251
20261
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20261
Top sponsored roles
Data Engineering Manager, Trading Analytics
Job description
Summary
Swish Analytics is a sports analytics, betting and fantasy startup focused on predictive sports analytics data products. They are seeking Data Engineers to enhance their infrastructure and deliver core data offerings, while also supporting the coverage of non-US sports.
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
