Senior Backend Engineer - Data

Hard Rock Digital • FL

96d

About The Position

Hard Rock Digital is pioneering the future of online gaming, aiming to become the world's premier sportsbook, casino, and social gaming company. We're building a passionate team dedicated to creating innovative products and technologies that serve millions of consumers. Rooted in the legacy of Hard Rock and the Seminole Tribe of Florida, we're extending our leadership in gaming, entertainment, and hospitality into the digital realm. We're seeking a Senior Backend Engineer to join our growing data engineering team. In this role, you'll be an important technical contributor, supporting our technology, operations, and business needs. You'll work with large distributed datasets, implement and maintain data infrastructure, and apply your expertise in Java and data engineering to drive our success. As we expand our AI capabilities, you'll also have opportunities to build data pipelines that support machine learning models and AI-driven features.

Requirements

• Strong experience with Java, including proficiency in identifying and resolving performance issues
• Experience with memory management and garbage collection optimization
• Good understanding of distributed and event-driven systems
• Experience with Kafka or similar streaming services
• Familiarity with message queues and pub/sub protocols (e.g., SQS, SNS)
• Strong knowledge of relational and NoSQL databases
• Experience with Snowflake and/or Clickhouse
• Experience with DynamoDB or similar NoSQL solutions
• Ability to explain database strengths and trade-offs
• 3+ years of experience in data engineering roles
• Bachelor's degree in Computer Science, Engineering, or a related field

Nice To Haves

• Knowledge of analytical database platforms
• Python proficiency for Airflow or batch jobs
• AWS suite expertise
• Experience with Terraform and Kubernetes
• Proficiency in vector search systems utilizing Elasticsearch or OpenSearch
• Familiarity with CI/CD pipelines and DevOps practices
• Knowledge of NFL and/or NBA, including understanding of relevant statistics and data sources for these leagues

Responsibilities

• Design, develop, and maintain scalable data pipelines and infrastructure
• Optimize data storage and retrieval systems for performance and reliability
• Collaborate with cross-functional teams to deliver data-driven solutions
• Implement best practices for data governance, security, and quality
• Provide technical guidance and mentorship to junior engineers when opportunities arise
• Support AI/ML initiatives by building robust data infrastructure for model training and inference
• Design and implement real-time data streaming solutions for AI-powered features

Benefits

• Competitive pay and benefits
• Flexible vacation allowance
• Startup culture backed by a secure, global brand

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 51-100 employees