WEX Inc. Logo

WEX Inc.

Mid-Level Software Engineer - Semantic Data Modeling

Reposted 12 Hours Ago
In-Office or Remote
13 Locations
Mid level
In-Office or Remote
13 Locations
Mid level
As a Software Engineer on the Semantic Data Modeling team, you'll develop data models, collaborate on data transformations, and improve data standardization and schema enforcement.
The summary above was generated by AI
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 on a mission to transform its data into a strategic, enterprise-wide asset. As a Software Engineer on the Semantic Data Modeling team, you will help build the core data foundation that defines how we structure, transform, and understand key business entities across domains—such as customers, fleets, providers, and transactions.

You’ll contribute to designing and delivering scalable, maintainable, and trusted data models that power analytics, reporting, automation, and AI throughout WEX. This is a great opportunity for an engineer who wants to make an impact at the heart of a data-driven transformation.

This is not a reporting role—it’s a platform-building role at the heart of WEX’s data transformation. You’ll help define how data is interpreted, trusted, and reused across products, analytics, and machine learning.

If you're excited by the challenge of scaling meaning, not just data, this is the role for you.

How you’ll make an impact

  • Develop and maintain semantically consistent 360 data models used across WEX products and business functions.
     

  • Collaborate with senior engineers and architects to build robust, reusable data transformations and derived attributes.
     

  • Write clean, scalable, and testable code to implement complex logic across wide, entity-based data tables.
     

  • Help improve data standardization, enrichment, validation, and schema enforcement throughout the modeling layer.
     

  • Participate in design discussions, code reviews, and backlog grooming for semantic layer initiatives.
     

  • Work cross-functionally with data acquisition, data products, and business teams to deliver trusted data assets.
     

  • Gain a good understanding of data and the business/product and user experience logic behind the data.
     

  • Document technical approaches and ensure traceability of business logic and data derivation.

Experience you’ll bring

  • 3–6 years of experience as a software or data engineer, preferably in environments working with large-scale datasets and complex transformations.
     

  • Strong programming skills in SQL and at least one general-purpose language (Python, Scala, or similar).
     

  • Understanding of data modeling principles—especially entity-centric and wide-table designs.
     

  • Familiarity with software engineering practices: testing, version control, modularization, documentation.
     

  • A mindset for scalability, quality, and clarity—you care about getting things right, not just getting them done.
     

  • Curiosity, ownership, and a collaborative approach to building shared systems and platforms.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include 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. For more information, check out the "About Us" section.Pay Range: $96,100.00 - $115,500.00

Top Skills

Python
Scala
SQL

Similar Jobs

4 Hours Ago
Easy Apply
Remote or Hybrid
CA
Easy Apply
Mid level
Mid level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Build and evolve core AI platform capabilities: design shared execution patterns, APIs, and backend services to support multi-step GenAI workflows, model integrations, and scalable production systems. Collaborate with AI engineers, data scientists, and product partners to turn emerging AI use cases into reliable, extensible platform features.
Top Skills: GoJavaLangchainLlmsMcpOpenai SdkPython
6 Hours Ago
In-Office or Remote
Toronto, ON, CAN
Mid level
Mid level
AdTech • Digital Media • eCommerce • Marketing Tech
Design, implement, and maintain AWS security controls and monitoring (GuardDuty, CloudTrail, Security Hub). Manage IAM and federated identity (Okta), secure networking, containers, serverless, and Databricks on AWS. Investigate and remediate findings using Wiz, support SOC 2 compliance, automate security via IaC and scripting, and develop incident response playbooks while partnering with engineering and auditors.
Top Skills: Aws Ec2,S3,Rds,Eks,Ecs,Lambda,Api Gateway,Vpc,Cloudfront,Alb,Waf,Guardduty,Cloudtrail,Cloudwatch,Security Hub,Aws Config,Aws Identity Center,Iam,Sqs,Sns,Databricks,Wiz,Okta,Saml,Oidc,Python,Bash,Powershell,Infrastructure As Code
10 Hours Ago
Remote or Hybrid
8 Locations
Mid level
Mid level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Field-driven Territory Account Executive responsible for full-cycle, self-sourced sales: prospecting, live demos, closing deals, building pipeline, partnerships, and managing Salesforce-based forecasting and onboarding to exceed quota.
Top Skills: Salesforce

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account