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Data Engineer

Company Name: 
Swish Analytics
San Francisco
Type of Company:
Sports Company
Position Type:
Contact Name: 
Sandy Weil
Contact Email:
Date Posted:
February 9, 2022
Anticipated Start Date:
April 1, 2022

Position Description

The Swish Analytics team is seeking 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. You will: * 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 About Swish Analytics 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.

Desired Qualifications

Desired skills: * BS/BA degree in Mathematics, Computer Science, or related STEM field * Experience writing production level code * Proficiency in Python (scikit-learn, pandas, NumPy, SciPy) * Expertise in database management, preferably SQL * Experience with NoSql databases (Cassandra, MongoDb) * Experience building ETL pipelines * Experience with data mining and analysis * 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 * Experience with Distributed Computing * And last but not least, a strong interest for US sports and sports betting. You love sports, particularly the NFL, NBA, MLB and NHL, and can use your knowledge of the sport to inform your work with complex datasets Bonus points: * Several projects on github that illustrate experience in the requirements above * Familiarity with “Big Data” technologies * Experience working with time series or sports data

How to Apply

See our job postings page on Angel List and apply there: