Hybrid Senior Software Engineer – Semantic Data Modeling

at WEX

• Job title: Senior Software Engineer – Semantic Data Modeling
• Job type: Full Time
• Experience level: Senior
• Salary: $120,000 - $160,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, Scala, SQL
• Location requirements: Hybrid, Portland, United States

About the role

• Senior Software Engineer designing and building data models that unify business insights at WEX. Responsible for implementing transformation logic and ensuring data consistency across various domains.

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

Benefits

• health, dental and vision insurances
• retirement savings plan
• paid time off
• health savings account
• flexible spending accounts
• life insurance
• disability insurance
• tuition reimbursement
• and more