This role is remote, with one required visit to your designated home office per quarter.

Remote option is available for employees located in the following states; AZ, CO, CT, FL, GA, IA, IL, IN, LA, MA, MD, MI, MS, MT, NC, NJ, NV, NY, OH, OR, PA, SC, TX, TN, WA, WV, and Washington D.C. (States subject to change at any time)

Home Office: Jersey City, NJ

With William Hill now a part of Caesars Entertainment, we plan to lead the pack by delivering products our customers love to use! As Caesars/William Hill, we operate sports betting in 18 U.S. jurisdictions and have partnerships with the biggest leagues and media companies in the country including, the NFL, MLB, NBA, NHL, ESPN, and CBS Sports. Marking a major milestone in American sports history, we opened the first-ever sports betting venue within a professional United States sports facility, the Caesars Sportsbook at the Capital One Arena in Washington D.C. Partnerships like this are positioning our business to skyrocket as sports betting continues to expand across the country and our customers get a taste of the action.

On the Technology side, we’ve built an entire sports betting and iGaming platform from the ground up in less than 3 years. Through continuous improvement and data-informed product development, we are adding features so that our customers have the best product experience in the market. Our Product Technology team is comprised of the brightest minds in Tech, and our culture of autonomy and decisiveness gives the team the freedom to deliver without constantly seeking permission to take action. We chart our own path and innovate as we create the next generation of products. We’re looking for like-minded superstars that want to work with the best of the best and join the biggest name in sports betting and iGaming as we take over the U.S. market!

What You Will Do: 

• Assist in building a world-class Big Data platform which will give us power to process streams of data , as well as, enable machine learning and advanced analytics capabilities. Everything cloud-based for scalability and speed to market.
• Handle large volumes of data and integrate our platform with a range of internal and external systems.
• Understand new tech and how it can be applied to data management.
• Work with an agile team alongside business, testers, architects and project managers.
• Focus on the development of complex logic integrations
• Maintain and evaluate quality of documentation, code, and business logic and non-functional.
• Keep NFRs as priority by maintaining code, supporting, restoring, monitoring and performance for any delivery 

*If you join us as a Senior, you will be a mentor to a team, and will need to bring some previous experience of this.  

What You Need: 

• Design, implement, and extend core data system that enables reporting and data visualizations  
• Manages data integrations within the company's domain technology stack
• Provide runtime and automation solutions that empower developers to migrate and run workloads in the public cloud
• Responsible for maintaining and supporting all data workflows 
• Design, implement, enhancement and support of CI/CD frameworks, container solutions, runtime environments, and supporting public cloud infrastructure
• Produce and maintain complex data workflows to meet all the quality requirements of the data management policy
• Design, and documents database architecture
• Responsible for creating and maintaining operational data store
• Responsible for ingestion and extraction of data using MDM tools like Informatica, Amperity, etc.
• Expertise in Data Warehousing and familiarity with cloud offerings for warehouses.
• Creates and maintains diagnoses, alerting, and monitoring code.
• Builds database schemas, tables, procedures, and permissions
• Develops database utilities and automated reporting
• Prepares written materials for the purpose of documenting activities, providing written reference, and/or conveying information
• Full-stack design, development, deployment, and operation of core data stack including data lake, data warehouse, and data pipelines
• Experience building data flow for data acquisition, aggregation, and modeling, using both batch and steaming paradigms
• Experience working public cloud provider (AWS, GCP, Azure)
• Experience building and managing CI/CD pipelines
• Have created and managed Kubernetes clusters in different types of environments
• Familiarity with access controls, secrets management, monitoring, and service discovery in Kubernetes clusters
• Experience working with containerized workflows, applications, and drive container adoption among developers and teams
• Experience building ingestion, ETL data pipelines, especially via code-oriented systems like Spark, Airflow, Luigi, or similar, and with varied data formats
• Experience operating in a secure networking environment (e.g. behind a corporate proxy) is a plus
• Expertise in data engineering languages such as Python, Java, Scala, SQL
• Familiarity with visualizing data with Power BI, Tableau, and similar tools
• Experience creating business requirements documents and/or other application systems related documents

William Hill provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, creed, national origin, ancestry, sex, age, physical or mental disability, pregnancy, veteran or military status, genetic information, sexual orientation, gender identity or expression, marital status, civil union/domestic partnership status, familial status, domestic violence victim status, or any other legally recognized protected basis under federal, state or local laws.  William Hill complies with applicable federal, state and local laws governing nondiscrimination in employment in every location in which the company has facilities.  This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Essential Functions/Exposures:

• Must be able to sit for extended periods of time                                          
• Must be able to type and talk on the phone for extended periods of time                                     

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