Software Engineering Intern - Enterprise Data & Systems (Salesforce & Snowflake) (Graduate/Master's)

WEX is a global commerce platform that provides employee benefits, business payments, and fleet and mobility solutions. The Software Engineering Intern will help establish a customer repository by investigating source systems, defining Salesforce customer data requirements, and building reusable Snowflake data ingestion and transformation workflows. The role also involves Salesforce integration, testing, documentation, and participation in Agile engineering activities.

Responsibilities:

• Investigate Source Systems: Trace data lineage across disparate systems (billing platforms, transactional processors, legacy portals, and operational services) to identify where key customer, account, and relationship attributes truly originate
• Define Customer Schema: Partner with product managers, business analysts, and functional leads across Sales, Service, and Operations to document requirements for what constitutes the "single source of truth" for customer identity in Salesforce
• Data Quality & Validation: Perform exploratory data analysis to evaluate consistency, detect schema drift, address duplicate records, and define mapping rules between upstream source models and their desitnations
• Build for Reusability: Assist in designing and building scalable, modular data extraction, transformation, and ingestion workflows so future source integrations can plug in with minimal custom code
• Harness Snowflake: Write optimized SQL transformations, views, and data processing routines within Snowflake to clean, normalize, and stage customer datasets for downstream consumption
• Integrate with Salesforce: Collaborate with Senior Salesforce Developers and Enterprise Architects to map staged Snowflake data into standard and custom Salesforce objects
• Active Mentorship & Agile Sprints: Participate in daily stand-ups, backlog grooming, and architectural design reviews alongside senior systems engineers
• Testing & Documentation: Document data dictionaries, entity-relationship diagrams (ERDs), integration flows, and automated validation tests to ensure maintainability
• AI & Automation Exploration: Leverage AI-assisted developer workflows and modern automation tooling to accelerate querying, schema mapping, and documentation generation

Requirements:

• Pursuing a Master's degree in Computer Science, Machine Learning, Software Engineering, or a related field
• A natural curiosity and tenacity for digging beneath the surface of complex systems to figure out how data flows, where discrepancies lie, and which source represents the ground truth
• An instinct to build tools, scripts, and data models that solve problems systematically rather than with one-off manual patches
• Solid academic or project experience writing structured SQL queries (joins, aggregations, window functions) and understanding relational database principles (foreign keys, indexing, entity relationships)
• Working knowledge of at least one programming or scripting language (e.g., Python, Java) and standard version control workflows (Git/GitHub)
• Ability to translate complex data structures into plain language when interviewing stakeholders and gathering requirements
• While prior hands-on experience with Snowflake or Salesforce is a plus, a demonstrable aptitude and enthusiasm to learn both enterprise platforms quickly is paramount