WEX, Inc.
Senior Software Engineer | Semantic Data Modeling
WEX, Inc., Chicago, Illinois, United States, 60290
This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.
About the Team/Role WEX is reimagining its enterprise data platform with a powerful goal: transforming raw data into semantically meaningful, reusable, and trusted business assets. As a
Senior Software Engineer
on the
Semantic Data Modeling Team , you'll play a critical role in designing, building, and maintaining our core 360 data objects—such as Customer360, Fleet360, and Provider360.
These wide, entity-based tables are foundational to our analytics, AI, and product platforms. You'll implement rich transformation logic, encode business rules, and ensure data consistency across domains—making our data models both technically scalable and business-ready.
This team is at the heart of WEX's DaaS platform—bridging raw data with meaningful business insights. You'll help define and deliver the
semantic backbone
of our products, analytics, and machine learning systems.
If you're excited about building data models that carry real-world meaning, scale to billions of records, and unify how a business understands its world—this is your next big move.
How you'll make an impact
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.
Experience you'll bring
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.
Pay Range: $120,000.00 - $160,000.00
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About the Team/Role WEX is reimagining its enterprise data platform with a powerful goal: transforming raw data into semantically meaningful, reusable, and trusted business assets. As a
Senior Software Engineer
on the
Semantic Data Modeling Team , you'll play a critical role in designing, building, and maintaining our core 360 data objects—such as Customer360, Fleet360, and Provider360.
These wide, entity-based tables are foundational to our analytics, AI, and product platforms. You'll implement rich transformation logic, encode business rules, and ensure data consistency across domains—making our data models both technically scalable and business-ready.
This team is at the heart of WEX's DaaS platform—bridging raw data with meaningful business insights. You'll help define and deliver the
semantic backbone
of our products, analytics, and machine learning systems.
If you're excited about building data models that carry real-world meaning, scale to billions of records, and unify how a business understands its world—this is your next big move.
How you'll make an impact
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.
Experience you'll bring
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.
Pay Range: $120,000.00 - $160,000.00
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