Data Engineer

 

Company:  SimpleBet 

Location:   New York City 

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About the Company:

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SimpleBet is developing the world's simplest, most intuitive betting products - for everyone ranging from hardcore sports viewers to the casual fans. The company is also building a system of proprietary machine learning algorithms and technology systems to generate in-house pricing for our uniquely reimagined betting products, with a heavy focus on live in-game betting.

 

SimpleBet is well capitalized, and is led by a veteran team of successful entrepreneurs, executives, engineers, and data scientists with valuable experiences and relationships across sports (daily fantasy and otherwise), media, product development, and technology. 

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About the Role:

We are looking to hire a Data Engineer to join the SimpleBet team. You will be the bridge between algorithm development and software development. Your responsibilities include writing hardware-conscious
software to consolidate and store data, understanding efficiency requirements, and helping productize and develop our pricing algorithms and technical systems. To do well in this role, you need first-rate problem solving skills,
experience with data systems and data structures, and a strong grasp of computer science fundamentals.

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Responsibilities:​

• Write hardware-conscious, parallelized code to help productize predictive models

• Code efficient data stores and structures to store information at all levels of the memory hierarchy

• Collate data from a multitude of sources into efficient systems

• Write data hydration code that can operate in a low latency live production environment

• Come up with the best data structures for any given problem, minimize data I/O costs, and account

• for the needs of predictive pricing algorithms

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Requirements:

• Bachelor’s degree or Master’s degree from an accredited university or college in computer science

• Strong understanding of database systems and data structures and algorithms

• Strong understanding of HTML, Javascript, and programming languages

• Knowledge of math/statistics is a must.

• Experience engineering large data sets from disparate sources for efficient processing

• Experience in productizing algorithms, and improving their efficiency/runtime

• Experience with Python and MySQL is a must

• Understanding of R and MongoDB is a plus

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Salary: 110k - 160k + Equity
 

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