Senior Software Engineer – Semantic Data Lake

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WEX

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1983

🏥 Healthcare

📦 Logistics

✈️ Travel

💰 $310M Post-IPO Debt on 2020-06

Healthcare • Logistics • Travel

WEX is a global commerce platform specializing in various business solutions to address operational challenges. They provide services in managing and mobilizing fleets with their fuel card systems, offering comprehensive fleet management and analytics. Additionally, they focus on business payments solutions that streamline processes across industries, enhancing efficiency and security. WEX is also involved in employee benefits administration, helping organizations effectively manage health and reimbursement accounts. Their diverse range of services caters to numerous sectors, emphasizing innovation, sustainability, and effective solutions for business growth.

📋 Description

• Design and implement the core infrastructure of the Semantic Data Control Plane • Orchestrate the data lifecycle from ingestion and transformation to final distribution • Build observability frameworks and automated quality gates for proactive platform reliability • Develop self-service portals and golden templates for domain teams • Automate governance and security policies, including data lineage, RBAC, and PII protection • Build foundational data architecture for AI-native systems, including context and RAG-based systems • Use AI coding assistants to draft transformation logic, generate tests, refactor pipelines, explore datasets, and produce semantic documentation • Share AI tooling patterns, prompts, and workflows across the Semantic Data Team • Collaborate with domain experts, data scientists, and product stakeholders to translate business concepts into frameworks • Implement classifications, KPIs, scoring algorithms, and business rules with traceability and data lineage • Contribute to data modeling, documentation, governance, and responsible use of AI-generated code and artifacts • Collaborate across teams integrating ingestion, MDM, and data product layers

🎯 Requirements

• 4–8 years of experience in data engineering or software engineering focused on data transformation, modeling, or analytics platforms • Strong proficiency in SQL • Proficiency in at least one general-purpose language such as Python or Scala • Regular use of AI coding tools such as Claude, GitHub Copilot, Cursor, or similar • Hands-on experience with LLM-driven architectures • Experience designing RAG systems • Experience building agentic workflows such as LangGraph or CrewAI • Experience with vector or graph databases for context and ontology • Familiarity with prompt design, Spec-Driven Development, and AI-assisted code review • Deep expertise in complex orchestration systems, specifically Airflow • Experience with data quality frameworks such as Great Expectations • Fluency with Terraform, Kubernetes, and CI/CD automation • Experience implementing enterprise governance using DataHub or similar platforms • Experience with end-to-end lineage, cataloging, and RBAC policies • Experience building observability frameworks, including Grafana and xMatters integration • Experience building self-service portals and developer tools • Understanding of data quality practices including validation, enrichment, schema enforcement, and business rule encoding • Ability to operate collaboratively in a cross-functional environment • Proven track record of traceability, reproducibility, and semantic clarity

🏖️ Benefits

• Comprehensive and market competitive benefits • Offerings designed to support personal and professional well-being • Equal opportunity workplace • Reasonable accommodation available for qualified individuals with a disability • Drug-free workplace