Data Engineer - Sportsbook at Hard Rock in Fort Lauderdale, FL

Responsibilities

We’re turning up the volume on sports betting in a bold new way. Known the world over for our famous cafes, casinos, hotels and rock memorabilia collection, our newest venture takes the same Hard Rock ethos and brings it to the newly expanding online sports betting industry here in the USA. Headquartered in Hollywood, Florida, with offices in New Jersey and Texas, we’re a fast paced team dedicated to building an unrivaled betting experience for millions of sports fans everywhere.

What are we building?

Based in Austin, we are a team of designers and developers building a better customer experience in the fast-growing online sports betting space. On the back of a Supreme Court decision in favor of allowing the legalization of mobile sports betting in the USA, states across the country have begun regulating and opening up sports betting. Since 2018, over $25 billion has been legally wagered with the vast majority from mobile devices. While sports betting is a new industry in the US, the legacy technology powering the industry is not. We’re here to change that. We’re a passionate group of sports fans who are building the future of sports betting with customer-focused products and cutting-edge technology.

What’s the position?

We are looking for a data engineer to join our quickly growing product and technology teams in Austin, TX. As a data engineer, you will play an integral role building data pipelines and transformations to unify customer data profiles and facilitate data scientists in model development, deployment, monitoring and retraining. The ideal candidate is both technically talented and passionate about leveraging data and data science to optimize user experiences, particularly in the context of sports betting. Because we operate with a startup mindset, we will be reliant on your technical skill, but also your passion and ownership over all aspects of your work.

Qualifications

We are looking for an engineer who is willing to tackle problems with innovative ideas and quality technical implementations. We believe the perfect candidate isn’t interested in just what we’re building right now, but wants to understand where we’re going and how it impacts the customer to ensure everything we create moves us closer to our goal: delivering the best customer experience.

The ideal candidate will have:

• Degree in computer science, a related field, or equivalent work experience (3+ years)
• Strong communication skills (both written and verbal)
• Experience with Python including exposure to data science packages (NumPy, Pandas, scikit-learn)
• Experience manipulating, processing and extracting value from large, disconnected datasets
• An understanding of AWS Cloud technologies and how to create scalable applications
• Exposure to and interest in the following technologies:
• AWS Serverless and serverless-supported languages
• SQL and/or NoSQL experience (ex, MySql, Cassandra, DynamoDB)
• Streaming technologies (Amazon Kinesis, Kafka)
• Message Queues (SQS, RabbitMQ, ActiveMQ)
• Comfort working within an agile development cycle and exposure to:
• Linux development
• Git and versioning software
• Build systems (Maven, SBT, Gradle, etc) and common build patterns

What’s in it for you?

We offer our employees more than just competitive compensation. Our team benefits include:

• Competitive pay and benefits
• Flexible vacation allowance
• Flexible work from home or office hours
• Startup culture backed by a secure, global brand
• Opportunity to build products enjoyed by millions as part of a passionate team