The Data Acquisition Team is the entry point to WEX’s Data-as-a-Service (DaaS) platform—responsible for ingesting, validating, and orchestrating raw data from dozens of internal systems and third-party providers.
As a Senior Software Engineer, you’ll play a key role in designing and building robust, scalable, and extensible pipelines that feed the entire data ecosystem at WEX. You’ll work across multiple data domains and ingestion patterns—batch, streaming, and event-driven—while ensuring quality, performance, and governance are embedded in every step.
WEX is undergoing a data platform transformation—and this team builds the foundation. Every pipeline you create contributes directly to powering analytics, automation, and product intelligence across all business domains.
If you’re passionate about scaling data platforms from the ground up, this is your chance to help shape how WEX ingests and leverages its most valuable asset: data.
Build and maintain high-performance data acquisition pipelines that integrate with a variety of systems across WEX and third-party vendors.
Contribute to the development of a modular ingestion platform that enables reusability, reliability, and observability at scale.
Implement core pipeline components such as schema validation, transformation orchestration, error handling, and audit logging.
Support batch and streaming ingestion flows, ensuring the platform meets varying latency and volume requirements across business units.
Ensure traceability, lineage, and security through integration with control plane and governance systems.
Participate in code reviews, design sessions, and incident resolution—promoting high standards for code quality and operational reliability.
B.Sc. in Computer Science, Engineering, or related technical field; M.Sc. a plus but not required.
4+ years of experience as a software engineer, ideally in high-volume or distributed systems environments.
Strong programming skills in Python, Java, Scala, or another systems-focused language.
Experience with data integration and ingestion pipelines—you understand what it means to bring data in from source systems, transform it, and deliver it reliably downstream.
Solid grasp of engineering fundamentals, including version control, modular design, testing, and performance tuning.
AI-Augmented Productivity: Proficiency in using AI coding assistants (e.g., GitHub Copilot, Cursor, or Claude Dev) to accelerate the Software Development Life Cycle (SDLC), including automated unit test generation, refactoring, and documentation.
Specification-First Architecture: Deep understanding of specification-driven development. Ability to author and maintain rigorous technical specifications (using OpenAPI, AsyncAPI, or Protocol Buffers) that serve as the "source of truth" before implementation begins.
Prompt Engineering for Engineers: Ability to craft complex, context-rich prompts to solve architectural problems, debug legacy systems, and translate business requirements into technical scaffolds.
Familiarity with concepts like schema evolution, event-driven architectures, observability, and role-based access control.
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.