> Markdown version of [/jobs/ext/3606055-sql-performance-engineer](https://www.wearedevelopers.com/jobs/ext/3606055-sql-performance-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SQL Performance Engineer - **Company:** Coolsoft LLC - **Location:** Florham Park, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Databases, Data Auditing, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Migration, Data Structures, Database Design, Database Schema, Database Security, Disaster Recovery, Microsoft SQL Server, SQL Azure, Performance Tuning, Productivity Software, Query Optimization, Cloud Services, Microsoft Copilot, Software Deployment, SQL Stored Procedures, SQL Server Reporting Services, SQL Server Integration Services, Systems Integration, Transact-SQL, Enterprise Data Management, Freeform SQL, Azure Data Factory, GitHub Copilot, System Availability, Database Optimization, Indexer, Performance Monitor, Tools for Reporting, Database Monitoring, Sql Tuning - **Published:** October 7, 2026 - **Apply:** https://www.dice.com/job-detail/2849e4b7-c6bc-407d-b558-698415a312bc ## About the Role We are seeking an experienced Senior SQL Performance Engineer with 8 10+ years of experience in SQL Server database development, performance optimization, production support, and data integration., * 8 10+ years of experience in SQL Server/database engineering. * Strong expertise in Microsoft SQL Server and T-SQL. * Extensive experience with SQL performance tuning and optimization. * Strong knowledge of query execution plans, indexing, partitioning, and performance monitoring. * Hands-on experience with SSIS and ETL development. * Experience with database design, schema development, and data modeling. * Strong experience in data migration, integration, and troubleshooting. * Experience with database security, backup/recovery, replication, and high availability. * Strong production support and troubleshooting experience. * Excellent analytical, problem-solving, and communication skills. Preferred / Nice-to-Have Skills * Experience with SQL Server Reporting Services (SSRS) or other reporting tools. * Experience with cloud data platforms such as Azure SQL, Azure Data Factory, or similar technologies. * Experience supporting ERP integrations and enterprise data environments. * Knowledge of data governance and data quality practices. * Exposure to Microsoft Copilot, GitHub Copilot, or other AI-assisted development tools. ## Description The ideal candidate will have strong expertise in SQL Server, T-SQL, performance tuning, database design, SSIS/ETL, data migration, security, and high-availability solutions. This role will be responsible for optimizing enterprise database environments, supporting production systems, and leading complex data integration and migration initiatives., * Design and develop complex SQL queries, stored procedures, views, functions, and database objects. * Perform SQL Server performance tuning, including query optimization, indexing, execution plans, partitioning, and database monitoring. * Monitor and troubleshoot production SQL Server environments to ensure high availability, performance, reliability, and data integrity. * Design and maintain scalable database schemas, data models, and data structures. * Develop, maintain, and troubleshoot SSIS/ETL packages for data migration, transformation, and integration. * Lead and support data migration and integration projects across multiple systems and platforms. * Implement and maintain database security, backup/recovery, replication, disaster recovery, and high-availability solutions. * Identify performance bottlenecks and recommend solutions to improve database efficiency and scalability. * Ensure data quality, governance, compliance, and reporting accuracy. * Provide technical leadership for database management, reporting solutions, and ERP/data integrations. * Collaborate with developers, architects, business teams, and infrastructure teams to resolve complex database issues. * Participate in production deployments, root-cause analysis, and ongoing database optimization. * Leverage AI-assisted development and productivity tools where appropriate.