Staff Data Engineer - Java

About Hard Rock Digital

Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social casino company in the world.

We’re building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers.

We care about each customer interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically.

Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality.

We’re taking that foundation of success and bringing it to the digital space ready to join us?

What’s the position?

We're seeking a Staff Data Engineer to join our rapidly expanding data engineering team. In this role, you'll be a key technical contributor, supporting cutting-edge technology, operations, and business needs.

You'll work with massively distributed datasets, architect and implement big data infrastructure, and apply your passion for data and sports to drive our success.

Key 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
• Mentor junior engineers and contribute to the team's technical direction

What are we looking for?

Basic Qualifications

• Extensive experience with Java, including proficiency in :
• Identifying and debugging issues like memory leaks and garbage collection pauses
• Strong understanding of distributed and event-driven systems :
• Experience with Kafka, Kinesis, or similar distributed ledgers
• Familiarity with message queues and pub / sub protocols (e.g., SQS, SNS)
• Expertise in relational and NoSQL databases :
• Experience with DynamoDB or similar NoSQL solutions (e.g., Cassandra)
• Ability to explain database strengths and trade-offs

Nice-to-Have Skills

• Knowledge of analytical database platforms :
• Experience with Clickhouse / TinyBird or ability to explain systems like Apache Pinot
• Understanding of when to use analytical databases vs. relational or NoSQL solutions
• Python proficiency for Airflow or batch jobs
• AWS suite expertise :
• Ability to build data pipelines using Lambda + SQS
• Experience with Terraform and Kubernetes :
• Capability to build infrastructure for projects using Terraform
• Kubernetes troubleshooting and management skills
• Familiarity with CI / CD pipelines and DevOps practices

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
• Startup culture backed by a secure, global brand

Roster of Uniques

We care deeply about every interaction our customers have with us and trust and empower our staff to own and drive their experience.

Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play.

We want to celebrate you being you (we are an equal opportunities employer)