Senior Software Engineer | Semantic Data Modeling

WEX is reimagining its enterprise data platform, and they are seeking a Senior Software Engineer on the Semantic Data Modeling Team. The role involves designing, building, and maintaining core data objects to transform raw data into meaningful business assets.

Responsibilities:

• Design and implement semantically consistent, scalable 360 data models that integrate data across domains
• Build and maintain transformation pipelines that apply cleansing, standardization, enrichment, and derived logic to domain datasets
• Write production-quality, testable code in SQL and Python (or equivalent)—delivering performant and maintainable data assets
• Work closely with domain experts, data scientists, and product stakeholders to translate business concepts into interpretable, decision-ready data models
• Implement logic for classifications, KPIs, scoring algorithms, and business rules, ensuring traceability and data lineage
• Help define and enforce standards for data modeling, documentation, and governance within the semantic layer
• Collaborate across teams to integrate with ingestion, MDM, and data product layers

Requirements:

• 4+ years of experience in data engineering or software engineering with a focus on data transformation, modeling, or analytics platforms
• Strong proficiency in SQL and at least one general-purpose language such as Python or Scala
• Experience building and scaling wide, entity-based tables and modeling domain concepts (e.g., customer, fleet, provider) into durable data objects
• Solid understanding of data quality practices—including validation, enrichment, schema enforcement, and business rule encoding
• Experience working with large-scale datasets and optimizing transformation pipelines for performance and maintainability
• Comfort operating in a collaborative, cross-functional environment, balancing business logic with platform scalability
• A mindset for traceability, reproducibility, and semantic clarity—you build data models others can trust and reuse
• Bachelor's degree in Computer Science, Software Engineering, or related field
• A Master's or PhD in the areas of Data Science, Machine Learning, Artificial Intelligence, Computer Science, or Statistics