Senior Staff Software Engineer - Semantic

Job Title: Senior Staff Software Engineer - Semantic

Position Type: Full-Time / Permanent

Location: Remote (Based in Bay Area, Chicago, Boston, Portland ME, or Seattle for occasional in-person collaboration)

Salary Range: up to $225,000/yr (plus 10% for Bay Area) + Bonus + RSU + Comprehensive Benefits

Job ID#: 160760

Job Description:

We are building a modern, enterprise-wide Data-as-a-Service (DaaS) platform—and at its heart lies the Semantic Data Modeling layer. This layer transforms raw data into trusted, consistent, and reusable 360° data objects that power analytics, automation, and product experiences across domains.

As a Senior Staff Software Engineer, you will lead the design and engineering of large-scale semantic data models that represent key business entities like Customer 360, Fleet 360, and Benefits 360. You’ll architect systems that enforce data standardization, business logic, and semantic alignment—delivering high-performance, versioned, and auditable data assets to stakeholders across the enterprise.

This is more than data modeling—this is about building the shared language of the business. You’ll help define and scale the core data objects that every team at us will rely on. If you're motivated by systems-level thinking, technical rigor, and semantic clarity, this is your role.

This is a high-impact, cross-cutting engineering role that demands deep system thinking, platform mindset, and an ability to influence technical direction at scale.

Responsibilities:

• Architect and implement the platform foundations for semantic data modeling, including reusable modeling patterns, data versioning, and temporal semantics.
• Translate complex business definitions into scalable, interpretable, and trustworthy data entities used across analytics, AI/ML, APIs, and operational workflows.
• Own the modeling of high-volume, high-complexity domains—such as customers, fleets, transactions, and providers—at enterprise scale.
• Drive rigorous enforcement of data validation, referential integrity, and schema evolution, enabling semantic consistency across domains.
• Collaborate closely with business, product, and analytics teams to ensure semantic models reflect how WEX understands and uses its data.
• Define best practices for building modular, testable, and maintainable pipelines, and lead their implementation across a growing team.
• Guide platform evolution by partnering with Control Plane, Governance, and DataOps teams to embed observability, lineage, and traceability.

Requirements:

• 10+ years of experience in software or data engineering, with a focus on large-scale systems and data modeling platforms.
• Expertise in data architecture and semantic modeling—with proven experience in designing entity-centric, reusable models (e.g., Customer 360, Provider 360).
• Deep understanding of data structures, transformation patterns, temporal modeling, and business logic abstraction.
• Strong software engineering background with experience in building scalable systems using modern architectural patterns.
• Experience with data lifecycle management, including versioning, auditability, and reproducibility of derived data objects.
• Excellent communication skills and a track record of cross-functional leadership across engineering, product, and business stakeholders.
• A passion for building platforms that promote trust, consistency, and scalability in enterprise data usage.

About Us:

Founded in 2009, IntelliPro stands as a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue to lead the way in global talent solutions.

IntelliPro is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We also ensure that all applicants have access to accommodations throughout the hiring process. Learn more at https://intelliprogroup.com

Compensation:

The compensation offered will depend on various factors, including location, experience, education, and job-related skills. This role includes a competitive base salary, bonus, equity, and a comprehensive benefits package, subject to eligibility.