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.

What are we looking for?

Technical skills we're looking for:

• 2–4 years of professional experience in data engineering, analytics engineering, or a martech / digital analytics environment.

• Strong SQL — a hard requirement. You can write and reason non-trivial joins, aggregations, window functions, and CTEs, and you understand what a query is doing.

• Hands-on RETL/ETL experience. Segment RETL, Hightouch, Census, or similar — activating warehouse data into marketing and ad destinations.

• Hands-on dbt experience — you've built and maintained models, tests, and documentation in a real project.

• Experience building on a cloud data warehouse, ideally Snowflake (BigQuery / Redshift experience transfers).

• Familiarity with the Segment ecosystem (or a comparable CDP) and how event data feeds the warehouse.

• Comfort with Git-based workflows for data, and an orchestrator (Airflow, dbt Cloud jobs, Prefect, or similar).

• A working understanding of how marketing tools use data — CDPs, marketing automation (Braze or similar), and ad platforms.

Nice to have:

• Python for transformation, orchestration, or integration of work.

• Exposure to marketing attribution concepts and the platforms behind them (AppsFlyer / MMPs, ad platforms).

• Experience with data quality / observability tooling (dbt tests, Monte Carlo, or similar).

The kind of person we want:

• A developing problem-solver — you check lineage and compare source vs. modeled data before changing things, and you know when to work independently and when to pull in the senior engineer.

• A clear communicator who can explain a model or discrepancy to a non-technical marketing, ops, or CRM partner.

• Curious and self-aware — eager to dig into platforms you haven't seen and honest about what you don't know yet.

• Someone who can hold competing priorities across a few stakeholders and keep their pipelines documented and healthy.

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

• Flexible work from home or office hours

• Startup culture backed by a secure, global brand

• Opportunity to build products enjoyed by millions as part of a passionate team

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 opportunity employer).