Data Engineer

April 2

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $120k - $165.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Swish Analytics

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Swish Analytics is a company that specializes in machine learning for US sports betting and fantasy sports. They deliver accurate, algorithm-driven predictions and tools to help improve betting strategies across major sports leagues such as the NBA, NFL, MLB, and NHL. Swish Analytics offers tools like lineup optimizers for daily fantasy sports and is an Authorized MLB Data Distributor to U. S. sports betting operators. Their team consists of data scientists, machine-learning engineers, and developers dedicated to providing powerful analytics and innovative solutions for the sports betting and gaming industry.

Sports Analytics • sports betting • gambling

11 - 50 employees

🎲 Gambling

🎮 Gaming

⚽ Sports

💰 $6.9M Series B on 2019-05

📋 Description

• Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. • 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. • 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.

🎯 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 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 • Knowledge of sports betting • Must have knowledge and understanding of NBA OR NFL and the ability use your knowledge of the sport to inform your work with complex datasets

🏖️ Benefits

• 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.