Senior Software Engineer - Semantic Modeling

WEX • Seattle, WA

119d • $120,000 - $160,000

About The Position

The Semantic Data Modeling Layer is responsible for translating raw, domain-ingested data into structured, semantically meaningful, and trusted data entities that represent core business concepts. As a Senior Software Engineer, you'll play a key role in designing, building, and scaling our semantic data layer that powers analytics, business intelligence, and data-driven decision-making across the organization. This role will be central to enabling a consistent, governed, and reusable definition of metrics, dimensions, and business logic that can be consumed across tools, platforms, and teams. Your work will be critical in creating a single source of truth, consolidating fragmented data sources into unified, reconciled views.

Requirements

• 4-8 years of experience as a software or data engineer, ideally in high-volume or distributed systems environments.
• Strong programming skills in Python, Java, or another backend language for data services.
• Strong SQL skills and experience with modelling large-scale, complex datasets.
• Solid grasp of engineering fundamentals, including version control, modular design, testing, and performance tuning.
• Proven experience with at least one modern cloud data platform (Snowflake, BigQuery, Databricks).
• A collaborative mindset-comfortable working across domains, products, and infrastructure layers.
• A strong sense of ownership and accountability-you care deeply about building systems that last.

Responsibilities

• Build modular, reusable semantic definitions of business entities, metrics and hierarchies.
• Implement business rules, calculations, and aggregations in the semantic layer.
• Establish data governance principles to ensure consistency and metrics definitions are standardized and compliant.
• Define and implement robust data modeling solutions, ensuring data quality, consistency, and interoperability across the organization.
• Implement validation, testing, and monitoring of semantic models for accuracy and reliability.
• Partner closely with the data products team to understand business requirements and ensure semantic models align with their needs.
• Participate in code reviews, design sessions, and incident resolution-promoting high standards for code quality and operational reliability.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Retirement savings plan
• Paid time off
• Health savings account
• Flexible spending accounts
• Life insurance
• Disability insurance
• Tuition reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Number of Employees: 5,001-10,000 employees