SQL Engineer III

MEDEVOLVE INCLittle Rock, AR
Remote

About The Position

The SQL Engineer – Level 3 is a senior individual contributor responsible for designing, developing, optimizing, and maintaining complex SQL-based data solutions. This role operates with a high degree of autonomy, serves as a subject matter expert in database and query performance, and influences data standards, architecture decisions, and best practices across teams.

Requirements

  • Expert-level proficiency in SQL, including complex joins, CTEs, window functions, and performance tuning
  • Deep understanding of relational database design, normalization, indexing, and query optimization
  • Experience with Microsoft Azure
  • Strong experience working with large datasets and complex schemas
  • Ability to design scalable, high-performance data solutions
  • Strong analytical, troubleshooting, and problem-solving skills
  • Ability to influence technical standards and mentor peers
  • Effective communication skills with both technical and business stakeholders
  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience
  • Significant experience in SQL engineering, data engineering, or database development
  • Demonstrated ability to independently lead complex technical work

Responsibilities

  • Design, develop, and maintain advanced SQL queries, views, functions, and stored procedures supporting mission-critical systems
  • Install, configure, and maintain Microsoft SQL Server instances
  • Optimize database and query performance through indexing, execution plan analysis, and schema improvements
  • Lead complex data modeling and transformation efforts for transactional and analytical use cases
  • Ensure data accuracy, integrity, and consistency across databases and data pipelines
  • Partner with engineering, ETL, BI, and product teams to define scalable data solutions
  • Troubleshoot and resolve complex data quality, performance, and reliability issues
  • Establish and promote SQL development standards, best practices, and documentation
  • Contribute to architecture reviews and long-term data platform strategy
  • Support data governance, security, and compliance requirements, including those applicable to regulated environments
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