Principal Software Engineer - Data

WEX Inc.

California (MO)

Hybrid

USD 200,600 - 250,400

Full time

14 days+

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Benefits offered by this job

Health, dental and vision insurances
Retirement savings plan
Paid time off
Tuition reimbursement

Job summary

WEX Inc. is seeking a Principal Staff Software Engineer to architect their Data-as-a-Service platform. In this role, you will shape the data ecosystem through designing scalable systems that handle billions of records and ensure consistency. Your expertise in distributed systems and data acquisition will be key.

The position offers a competitive salary range and a variety of benefits including health insurance and retirement plans, making this an attractive opportunity in California.

Qualifications

  • 12–15+ years of experience in software or platform engineering.
  • Expertise in distributed systems and data acquisition.
  • Ability to set architectural standards across multiple teams.

Responsibilities

  • Architect the DaaS platform end-to-end.
  • Set reusable frameworks for data ingestion and modeling.
  • Mentor senior staff engineers and architects.
  • Collaborate across various Data teams.

Skills

Software engineering
Platform architecture
Distributed systems
Data lifecycle management
Leadership
Communication

Tools

Kafka
Spark
Delta
DBT

Job description

About the Role

WEX is transforming into a data‑driven enterprise through its modern Data‑as‑a‑Service (DaaS) platform. At the core of this strategy is a need for world‑class technical leadership—engineers who can see across domains, design foundational systems, and set the architectural direction for years to come. As a Principal Staff Software Engineer, you will play a pivotal role in shaping WEX’s DaaS platform end‑to‑end. You will drive the unification of data acquisition, semantic modeling, and data products, ensuring they operate together as a coherent, scalable, and trusted foundation for analytics, AI, and customer‑facing experiences. This is not just a technical role—it is a platform architect and multiplier role, where you’ll be responsible for defining cross‑cutting patterns, guiding teams across domains, and raising the technical bar across WEX’s data ecosystem. If you’re motivated by solving platform problems at global scale, influencing enterprise direction, and leaving behind systems that endure, this is your role.

What You’ll Do
  • 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.
What You Bring
  • 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.
Pay Range

$200,600.00 - $250,400.00

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.

Benefits

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. Most sales positions are eligible for commission under the terms of an applicable plan, and non‑sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan.

Equal Opportunity Employment

WEX is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, sexual orientation, gender identity, protected veteran status, disability or other protected status. WEX promotes a drug‑free workplace. Qualified individuals with a disability have the right to request a reasonable accommodation. If you require a reasonable accommodation as a result of your disability at any point in the job application process, please submit your request through our Reasonable Accommodation Request Form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

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