Principal Software Engineer, Semantic Data Services

🕒 August 21

🏄 California, Illinois, +2 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🦞 Maine – Remote 🍂 Massachusetts – Remote

💵 $200.6k - $250.4k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 39%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Define and influence architecture and technical direction for WEX's Semantic Data Lake and next generation of Data as a Service • Design and build semantic business objects combining enterprise data, business context, relationships, metrics, derived attributes, rules, lineage, quality, and governance • Develop scalable patterns and frameworks for creating semantic objects across multiple lines of business • Build platform capabilities across semantic modeling, ontology, metadata, knowledge graphs, data quality, lineage, data contracts, and governance • Translate complex business concepts into durable technical models and reusable platform capabilities • Capture business context across databases, applications, workflows, documents, policies, and institutional knowledge • Enable AI and agentic applications to discover, understand, reason over, and safely act on trusted enterprise data • Design reusable APIs, services, frameworks, and developer experiences for faster data product and AI experience development • Solve distributed systems, data processing, scalability, reliability, and performance challenges • Establish engineering patterns and architectural standards and influence adoption across teams • Mentor engineers and provide technical guidance on architecture and implementation decisions • Remain hands-on with architecture, design, prototyping, code, and critical platform components • Partner with Engineers, Architects, Product, AI, Analytics, Risk, Finance, and business teams across WEX

🎯 Requirements

• 10+ years of experience in software engineering, data engineering, distributed systems, data platforms, or related technology areas • Demonstrated experience operating at Staff, Principal, or equivalent technical scope • Deep software engineering and distributed systems expertise • Experience designing and building large-scale production platforms • Deep understanding of modern data architecture, including large-scale data processing, streaming, lakehouse architectures, data products, and distributed systems • Deep understanding of semantic data technologies and industry direction • Experience with semantic modeling, ontology, metadata platforms, knowledge graphs, data catalogs, enterprise data modeling, or closely related technologies • Ability to translate complex business concepts into scalable technical abstractions and reusable platform capabilities • Strong understanding of data quality, governance, lineage, security, privacy, and operational reliability • Experience building platforms or capabilities adopted by multiple engineering teams, business domains, or product organizations • Strong architectural judgment and ability to reason through complex tradeoffs • Ability to move between architecture and detailed implementation • Ability to influence technical direction and drive alignment across teams and organizational boundaries • Strong communication skills for explaining complex technical concepts to engineers, product teams, business partners, and senior leaders • Preferred: experience building platforms supporting AI/ML, generative AI, RAG, or agentic applications • Preferred: experience with knowledge representation, semantic search, context engineering, graph technologies, or AI-ready enterprise data • Preferred: experience modernizing large enterprise data ecosystems with multiple business domains and legacy systems • Preferred: experience with Spark, Flink, Kafka, Iceberg, Snowflake, Databricks, cloud-native data services, graph databases, or equivalent large-scale data technologies • Preferred: experience defining reusable frameworks, APIs, standards, or platform capabilities broadly adopted beyond an individual team

🏖️ Benefits

• Health insurance • Dental insurance • Vision insurance • Retirement savings plan • Paid time off • Health savings account • Flexible spending accounts • Life insurance • Disability insurance • Tuition reimbursement • Quarterly or annual bonus eligibility for non-sales roles

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