Data Engineer (Santo Domingo)

We're hiring a Data Engineer to own the data layer across our product portfolio. This is a database-first role and a deliberately broad one: you'll write and optimize the T-SQL that our applications run on, design the schema new features are built against, and keep the pipelines that move data from ingestion through processing to reporting correct, fast, and auditable.

We're not hiring for a single project. You'll move between products and problem domains — real-time event ingestion, transactional processing, reporting and analytics, historical migrations — so we're looking for someone adaptable who gets productive in an unfamiliar schema quickly and is comfortable owning more than one system at a time.

You'll work across multiple database instances — development, staging, and production — and own the packaging and deployment path between them, so that what's checked into source control is provably what's running. Correctness is not negotiable: the queries you write decide what our applications return and what our reports say. You'll partner closely with the API and frontend engineers who consume your procedures, and you'll be the person who answers "why does this number look wrong?"

Tech Stack

• Database: Azure SQL, T-SQL, stored procedures, table-valued parameters (TVPs), user-defined functions, temp-table staging p