SQL Server Developer

Dexian DISYS

Atlanta, GA, United States of America • 8m ago • On-site

Mid

On-site

200 - 200 USD/yr

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Potential salary for SQL Server Developer role

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$200 – $200/year

Quick Facts

  • Role: SQL Server Developer

Description

Hands-on database developer focused on high-performance T-SQL and building data platform components on Microsoft SQL Server. You will own stored procedures and data-movement processes for enterprise applications, optimize performance, and collaborate with backend (.NET) teams. The role also supports enterprise data platform adoption and prototypes AI-related capabilities such as vector search and model serving.

Responsibilities

  • Design, develop, test, and maintain stored procedures, functions, views, and triggers on Microsoft SQL Server.

  • Develop and manage complex T-SQL scripts for data movement (ETL/ELT, batch loads, incremental data synchronization).

  • Optimize query performance using indexing, execution plan analysis, and resolution of blocking, deadlocks, and long-running jobs.

  • Maintain database schema changes, deployment scripts, and version control using CI/CD pipelines.

  • Ensure data integrity, security, and auditability of database code.

  • Collaborate with the .NET backend team to implement database objects and data-access patterns.

  • Review and improve application data-access code (Entity Framework, Dapper, ADO.NET).

  • Participate in sprint planning, design reviews, and code reviews.

  • Support enterprise data platform adoption by building reference architectures, connection patterns, and reusable templates.

  • Build and deploy enterprise data solutions, including semantic modeling and sample queries.

  • Prototype AI-related capabilities on the data platform (vector search, model serving).

  • Work with stakeholders to identify high-impact use cases and evaluate outcomes.

Benefits

  • Opportunity to work at the forefront of enterprise data innovations.

  • Collaborative environment with the chance to lead impactful projects and influence core data architecture.

  • Professional growth in a high-demand skill set across multiple data initiatives.

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