WEX is on a mission to transform its data into a strategic, enterprise-wide asset. As a Software Engineer on the Semantic Data Modeling team, you will help build the core data foundation that defines how we structure, transform, and understand key business entities across domains—such as customers, fleets, providers, and transactions.
You’ll contribute to designing and delivering scalable, maintainable, and trusted data models that power analytics, reporting, automation, and AI throughout WEX. This is a great opportunity for an engineer who wants to make an impact at the heart of a data-driven transformation.
This is not a reporting role—it’s a platform-building role at the heart of WEX’s data transformation. You’ll help define how data is interpreted, trusted, and reused across products, analytics, and machine learning.
If you're excited by the challenge of scaling meaning, not just data, this is the role for you.
How you’ll make an impact
Develop and maintain semantically consistent 360 data models used across WEX products and business functions.
Collaborate with senior engineers and architects to build robust, reusable data transformations and derived attributes.
Write clean, scalable, and testable code to implement complex logic across wide, entity-based data tables.
Help improve data standardization, enrichment, validation, and schema enforcement throughout the modeling layer.
Participate in design discussions, code reviews, and backlog grooming for semantic layer initiatives.
Work cross-functionally with data acquisition, data products, and business teams to deliver trusted data assets.
Gain a good understanding of data and the business/product and user experience logic behind the data.
Document technical approaches and ensure traceability of business logic and data derivation.
Experience you’ll bring
3–6 years of experience as a software or data engineer, preferably in environments working with large-scale datasets and complex transformations.
Strong programming skills in SQL and at least one general-purpose language (Python, Scala, or similar).
Understanding of data modeling principles—especially entity-centric and wide-table designs.
Familiarity with software engineering practices: testing, version control, modularization, documentation.
A mindset for scalability, quality, and clarity—you care about getting things right, not just getting them done.
Curiosity, ownership, and a collaborative approach to building shared systems and platforms.
