Data Engineer - Martech

What are we building?

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 with passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer's 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, the new Hard Rock Digital taps a brand known around the world 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?

Reporting into the Martech Engineering team, the Martech Data Engineer works on the batched, warehouse side of our CRM and marketing data. You'll build and maintain dbt models on Snowflake and run the reverse-ETL (RETL) syncs that push modeled traits and audiences back out to the marketing tools our partners act on.

This is a hands-on mid-level engineering role. You'll own your own well-bounded areas of the warehouse — models, tests, and the RETL syncs that activate them — take pipelines from request to production, keep them healthy day to day, and grow toward owning more of the layer over time.

What you'll do:

• Build and maintain dbt models on Snowflake — from well-scoped models under review toward ownership of your own areas.

• Own RETL syncs end to end: define, ship, and monitor the reverse-ETL that activates modeled traits and audiences into Braze, ad platforms (Google, Meta, Microsoft), Salesforce, and other destinations — and troubleshoot when data doesn't land as expected.

• Work in the Segment ecosystem where the warehouse meets the CDP — understanding how events and sources feed the modeled layer.

• Write and maintain data tests, documentation, and lineage so the models we ship stay trustworthy and the next person can follow them.

• Partner with stakeholders to translate business requirements into well-bounded models and activation flows.

• Watch data quality and freshness on the martech layer and help catch drift before a stakeholder does.

• Because we operate with a startup mindset, we'll rely on your technical skill, your ownership over the pipelines you run, and your willingness to keep leveling up.