23 hours ago
Base Salary
$166k - $204k/yr
Responsibilities
- 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.
- Resolve performance bottlenecks through execution-plan analysis, indexing, query optimization, and database tuning.
- Drive schema improvements, migration strategies, replication, synchronization, and event-driven database patterns.
- Develop data pipelines and integration patterns across transactional, analytical, and cloud data environments.
- Build or support AI-enabled data infrastructure including embedding pipelines, vector databases, semantic search, and retrieval capabilities.
- Lead complex database engineering initiatives from problem definition through production implementation.
- Provide technical guidance through code reviews and design discussions, mentor engineers, and improve database engineering practices.
- Diagnose and resolve high-impact production issues using logs, metrics, execution plans, and observability data.
Requirements
- 15+ years of experience in database engineering, data platform engineering, software engineering, or a related technical discipline.
- Deep hands-on Microsoft SQL Server and T-SQL experience, including stored procedures, query optimization, execution-plan analysis, indexing, and performance tuning.
- Demonstrated experience modernizing or refactoring legacy database systems and supporting large-scale, business-critical databases.
- Strong programming skills in Python, C#, or a similar language for automation, tooling, and data processing.
- Experience with data pipelines, ETL/ELT, data integration, batch processing, and/or event-driven architectures.
- Strong understanding of database internals, transactions, concurrency, locking, and performance optimization.
- Experience independently driving complex technical initiatives across engineering teams.
- Experience using AI coding assistants and 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, plus CI/CD, source control, database migrations, schema versioning, and deployment automation.
- Experience with Kafka, NoSQL or document databases, Oracle PL/SQL, regulated industries, highly available systems, RAG, semantic search, vector databases, or AI-agent data infrastructure is preferred.
Benefits
- Health, dental, and vision insurance.
- Retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, and disability insurance.
- Tuition reimbursement and additional comprehensive benefits.
- Non-sales roles are typically eligible for a quarterly or annual bonus under the applicable plan.
Tech Stack
Categories
BackendData Engineering
About WEX
WEX (NYSE: WEX) is the global commerce platform that simplifies the business of running a business. WEX has created a powerful ecosystem that offers seamlessly embedded, personalized solutions for its customers around the world. Through its rich data and specialized expertise in simplifying benefits, reimagining mobility and paying and getting paid, WEX aims to make it easy for companies to overcome complexity and reach their full potential. For more information, please visit www.wexinc.com.