Data Engineer - Machine Learning

ABOUT FANDUEL GROUP

FanDuel Group is a world-class team of brands and products all built with one goal in mind — to give fans new and innovative ways to interact with their favorite games, sports, teams, and leagues. That’s no easy task, which is why we’re so dedicated to building a winning team. And make no mistake, we are here to win, but we believe in winning right. That means we’ll never compromise when it comes to looking out for our teammates. From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give.

Our brands include:

• FanDuel — A game-changing real-money fantasy sports app
• FanDuel Sportsbook — America’s #1 sports betting app
• FanDuel TV — "The Bettor Sports Network" bringing live sports and interactive content to the games fans care about most
• FanDuel Racing — A horse racing app built for the average sports fan
• FanDuel Casino & Betfair Casino — Fan-favorite online casino apps
• FOXBet — A world-class betting platform and affiliate of FanDuel Group
• PokerStars — The premier online poker product and affiliate of FanDuel Group

THE POSITION: 

Our roster has an opening with your name on it

Data drives our organization. As a Data Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data, provide our business with insight, and delight our customers with a world-class personalized experience. You will help us turn every click our users make, every bet, every touchdown, every fumble, and every play into a real-time stream of knowledge allowing us to make better and faster decisions – outplaying our competition.

In this role, you will partner with the engineering teams building our online applications, data scientists mining our data and training our models, and our analysts who make the data mean something. You will help us organize, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace.   

THE GAME PLAN:

Everyone on our team has a part to play

• Creating and maintain optimal data pipeline architecture
• Designing and implementing data pipelines required in the data warehouse and data lake in batch or real-time using data transformation technologies.
• Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Designing and deploying data models and views with large datasets that meet functional / non-functional business requirements
• Delivering data integration solutions to downstream marketing and campaign software
• Delivering quality production-ready code in an agile environment
• Delivering test plans, monitoring, debugging and technical documents as a part of development cycle
• Creating data tools for analytics and working with stakeholders across all departments to assist with data-related technical issues and supporting their data infrastructure needs
• Machine learning and data science
• Business intelligence tools (e.g., Tableau, Knime, Looker)
• Data security and privacy (e.g. GDPR, CPP)
• Data governance and data testing frameworks.
• Continuous integration and delivery of production data products

THE STATS:

What we're looking for in our next teammate

• Knowledge with languages such as Python, Java, SQL, and/or shell scripts.
• Experience as a data engineer in a machine learning environment (recommendation systems, pattern recognition, data mining or artificial intelligence).
• Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras), data structures, data modeling, and software architecture.
• Modeling and querying data using SQL and DBT.
• Processing event-based data using streaming technologies such as AWS Kinesis and Kafka for ML pipelines.
• Working with other members of the ML platform team to support delivery of additional project components (API interfaces and microservices).
• Developing and contributing to a ML feature store for downstream operational teams.
• Designing and building data pipelines for production level ML infrastructure, using tools such as TFX, Kubernetes, Kubeflow Pipelines, TensorFlow.
• Deploying ML models under the constraints of scalability, correctness and maintainability.
• Implementing open-source data quality frameworks for data profiling and observability.
• Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects.

THE CONTRACT: 

We treat our team right

Competitive compensation is just the beginning. As part of our team, you can expect:

• An exciting and fun environment committed to driving real growth
• Opportunities to build really cool products that fans love
• Mentorship and professional development resources to help you refine your game
• Flexible vacation allowance to let you refuel
• Hall of Fame benefit programs and platforms

FanDuel Group is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgement or harassment. Our focus is on developing employees so that they reach their full potential.

#LI-Hybrid