Principal Database Engineer – SQL Server, AI Data Infrastructure

🕒 Setembro 4

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $165.800 - $204.400 / ano

⏰ Tempo Integral

🔴 Especialista

🔙 Engenheiro Backend

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 0%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

WEX

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1983

🏥 Saúde

📦 Logística

✈️ Turismo

💰 $310.000.000 Post-IPO Debt em 2020-06

Healthcare • Logistics • Travel

A WEX é uma plataforma global de comércio especializada em diversas soluções empresariais para enfrentar desafios operacionais. A empresa oferece serviços de gestão e mobilidade de frotas por meio de seus sistemas de cartões de combustível, com soluções completas de gestão de frotas e analytics. Além disso, foca em soluções de pagamentos para empresas que simplificam processos em diferentes setores, aumentando a eficiência e a segurança. A WEX também atua na administração de benefícios aos colaboradores, ajudando as organizações a gerenciar com eficácia contas de saúde e de reembolso. Seu portfólio diversificado atende a inúmeros segmentos, com ênfase em inovação, sustentabilidade e soluções eficazes para o crescimento dos negócios.

Descrição

• Design, develop, optimize, and modernize large-scale SQL Server databases and data platforms • Analyze and refactor complex T-SQL, stored procedures, functions, and database logic • Identify and resolve database performance bottlenecks through execution-plan analysis, indexing, query optimization, and database tuning • Drive schema improvements and database modernization initiatives • Develop migration strategies and automation that maintain data integrity and minimize disruption • Implement and improve data replication and synchronization patterns • Apply event-driven database patterns such as CDC, outbox patterns, and event publishing • Engineer solutions for large, high-volume databases supporting critical business applications and partners • Develop data pipelines and integration patterns across SQL Server, PostgreSQL, Snowflake, and cloud data services • Support OLTP and OLAP environments and optimize data movement • Use AI coding assistants to accelerate development, analysis, debugging, and modernization • Implement AI-powered approaches for stored-procedure analysis, schema documentation, and workflow automation • Contribute to AI-native data infrastructure, including embedding pipelines, vector databases, semantic search, and retrieval systems • Develop data and retrieval capabilities supporting AI applications and agentic workflows • Evaluate emerging AI tools for engineering productivity and data platform capabilities • Lead complex database engineering initiatives from problem definition through production implementation • Provide technical guidance through code reviews, design discussions, and engineering standards • Mentor engineers and contribute to database engineering practices • Resolve high-impact production issues involving critical database systems • Diagnose complex problems using logs, database metrics, resource utilization, execution plans, and observability data • Determine root cause, coordinate technical teams, and drive issues through resolution • Balance incident resolution with longer-term improvements

🎯 Requisitos

• 15+ years of experience in database engineering, data platform engineering, software engineering, or a related technical discipline • Deep hands-on experience with Microsoft SQL Server and T-SQL, including complex stored procedures, query optimization, execution-plan analysis, indexing, and performance tuning • Experience modernizing or refactoring legacy database systems • Experience with large-scale, business-critical databases and high-volume data environments • Strong programming skills in Python, C#, or a similar language • Experience with data pipelines, ETL/ELT, data integration, batch processing, and/or event-driven architectures • Strong understanding of database internals, transaction management, concurrency, locking, and performance optimization • Experience working across engineering teams and independently driving complex technical initiatives • Experience using AI coding assistants such as Cursor, GitHub Copilot, Claude Code, Augment, or similar tools • Familiarity with embeddings, vector databases, semantic search, or RAG concepts • Experience with or willingness to build AI-enabled data tooling and automation • Exposure to PostgreSQL, Snowflake, Azure SQL, Cosmos DB, AWS data services, or similar platforms • Experience with infrastructure-as-code such as Terraform, ARM/Bicep, or similar technologies • Experience with CI/CD, source control, database migrations, schema versioning, and deployment automation • Experience with event streaming technologies such as Kafka is a plus • Familiarity with NoSQL and document databases is a plus • Preferred experience in payments, financial services, healthcare, benefits, or other highly regulated environments • Preferred experience supporting highly available, customer-facing, or business-critical systems • Preferred experience with Oracle PL/SQL in addition to SQL Server • Preferred hands-on experience with RAG, semantic search, vector databases, or AI-agent data infrastructure • Preferred experience building internal engineering tools or automation using AI

🏖️ Benefícios

• Health, dental, and 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 • Comprehensive and market-competitive benefits supporting personal and professional well-being