[Remote] Principal Software Engineer - Data

Note: The job is a remote job and is open to candidates in USA. WEX is transforming into a data-driven enterprise through its modern Data-as-a-Service (DaaS) platform. As a Principal Staff Software Engineer, you will play a pivotal role in shaping WEX’s DaaS platform end-to-end, driving the unification of data acquisition, semantic modeling, and data products for analytics and customer-facing experiences.

Responsibilities

• Architect the DaaS platform end-to-end: Define the next generation of WEX’s enterprise data stack spanning ingestion, semantic data modeling, metadata, and product delivery
• Establish platform standards: Set reusable frameworks for ingestion, modeling, lineage, observability, and access control that accelerate adoption across domains
• Guide technical strategy at scale: Partner with senior engineering, product, and business leaders to align data architecture with WEX’s strategic objectives. Solve for scale, reliability, and trust: Design systems that handle billions of records, guarantee semantic consistency, and deliver auditable, governed data assets. Mentor and multiply: Coach senior staff engineers and architects, instilling best practices in distributed systems, platform reliability, and semantic clarity
• Drive innovation: Explore and incorporate modern open-source and cloud-native technologies (e.g., Spark, Iceberg, Kafka, Delta, DBT, Ray, ML-ready data services)
• Be the bridge: Collaborate across Data Acquisition, Semantic Modeling, Data Products, and Governance teams to ensure WEX’s data is trusted, consistent, and usable across every business domain

Skills

• 12–15+ years of experience in software or platform engineering, with a proven track record of building and scaling large-scale data platforms
• Expertise in distributed systems, data acquisition, and semantic modeling, with architectural ownership of systems processing tens of millions to billions of records per day
• Demonstrated ability to set cross-domain architectural standards and influence adoption across multiple engineering teams
• Strong background in data lifecycle management (versioning, auditability, observability, lineage, reproducibility)
• Deep experience with modern data ecosystems: streaming (Kafka, Flink), batch (Spark, DBT), storage (Iceberg, Delta), orchestration (Airflow, Dagster), and APIs
• Exceptional communication and leadership skills—you can inspire engineers, influence executives, and build consensus across technical and business stakeholders
• A passion for creating platforms that endure: trusted, consistent, and empowering for analytics, AI, and products enterprise-wide

Benefits

• Commission under the terms of an applicable plan
• Quarterly or annual bonus based on their role and applicable plan
• Health, dental and vision insurances
• Retirement savings plan
• Paid time off
• Health savings account
• Flexible spending accounts
• Life insurance
• Disability insurance
• Tuition reimbursement

Company Overview

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