
Job Overview
Location
US - Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
July 9, 2026
Full Job Description
📋 Description
- • Define the 3-5 year technical roadmap for the Data Lakehouse, deciding how storage, compute, and metadata layers interact at an elemental level.
- • Build internal SDKs, CLI tools, and automated orchestration frameworks to abstract away cloud complexity via Control Planes and Custom Operators.
- • Prototype and benchmark emerging technologies to keep the platform at the bleeding edge of performance and cost-efficiency.
- • Architect 'compliance-by-design' systems, automating data lineage, PII masking, and fine-grained access control across petabyte-scale environments without sacrificing developer velocity.
- • Facilitate real-time data ingestion by implementing streaming support for Open Telemetry data from AI Agents into the Data Lake, drive the development of advanced AI evaluation metrics and reporting.
- • Set the gold standard for code quality and system design across the company, leading Cross-Functional Architecture Reviews and serving as the final escalation point for the most complex system outages or performance bottlenecks.
- • Foster an 'Engineering Community,' influencing the hiring bar and professional development paths for the entire data engineering organization.
🎯 Requirements
- • 15+ years in software engineering and distributed systems, with at least 4 years in a principal or staff-level capacity leading platform-scale initiatives.
- • Strong Software Foundations: strong fundamentals on software engineering, system architecture, and scalable production applications (Algorithms, Data Structures, and System Design).
- • Experience in the Java/J2EE ecosystem (Spring Boot, Microservices) and python.
- • Data Lakehouse Mastery: deep internal knowledge of Apache Iceberg, Hudi, or Delta Lake (metadata management, manifest files, and compaction strategies).
- • Extensive experience with cloud architecture and services, including AWS (S3, EMR, Kubernetes, Lambda) and Azure.
- • Bachelor’s or Master’s degree in Computer Science (Distributed Systems focus) preferred, or equivalent deep industry experience.
🏖️ Benefits
- • Comprehensive and market competitive benefits, including 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.
- • Quarterly or annual bonus based on role and applicable plan.
- • Opportunity to work on a 'platform-as-a-product' role, building the internal foundation that enables hundreds of other engineers to move faster.
- • Ability to communicate complex architectural trade-offs to C-suite executives and junior engineers alike.
- • Opportunity to lead Cross-Functional Architecture Reviews and serve as the final escalation point for the most complex system outages or performance bottlenecks.
- • Opportunity to foster an 'Engineering Community,' influencing the hiring bar and professional development paths for the entire data engineering organization.
Skills & Technologies
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About WEX Inc.
WEX Inc. is a global commerce platform headquartered in Portland, Maine, providing payment processing and business solutions across fleet, travel, and healthcare sectors. Founded in 1983, the company offers fuel cards, corporate payments, virtual cards, and benefits administration technology that simplifies complex transactions, enhances security, and delivers data-driven insights for businesses of all sizes. WEX serves customers in North America, South America, Asia-Pacific, and Europe, enabling efficient fleet operations, streamlined travel booking, and improved healthcare benefit management through innovative payment systems and software.
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