Data Engineer

Swish Analytics

$160K — $192K *
US-AnywhereRemote in San Francisco, CA
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • 2+ years of experience writing production-level code in Python
  • Proficient in Python and MySQL, with experience in Airflow
  • Experience with Kubernetes and building end-to-end ETL pipelines
  • Familiar with REST APIs, version control (git), and CI/CD processes
  • Experience with data cleaning, web scraping, and cloud infrastructures (AWS)
  • Solid understanding of data science concepts and machine learning

Responsibilities

  • Support production systems and troubleshoot issues during live sporting events
  • Architect low-latency, real-time analytics systems for data collection and processing
  • Develop and build new sports betting data products and predictive offerings
  • Integrate large, complex real-time datasets into consumer and enterprise products
  • Create production-level predictive analytics as enterprise-grade APIs
  • Contribute to designing and implementing automated sports data delivery frameworks

Benefits

  • Fully remote work environment
  • Opportunity to work with cutting-edge technology
  • Direct impact on data infrastructure and product delivery
  • Engagement with live sports and betting analytics
  • Potential for professional growth in a fast-paced industry
  • Dynamic team environment focused on innovation
Full Job Description
In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.

Job Description

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. 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
  • 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

Requirements
  • 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

Base Salary: Starting at $160,000 - DOE

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