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Senior SQL Engineer | $48/hr Remote

Crossing Hurdles
Department:Data Engineer
Type:REMOTE
Region:USA
Location:United States
Experience:Associate
Salary:$99,840 - $99,840
Skills:
SQLDATABASE DESIGNQUERY OPTIMIZATIONETLDATA MODELINGPERFORMANCE TUNING
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Job Description

Posted on: May 30, 2026

Senior SQL EngineerWork Snapshot

  • Job Type: Contract
  • Location: Remote
  • Compensation: Up to $48 per hour
  • Commitment: Flexible / project-based (hourly)

Roles & Responsibilities

  • Review and evaluate AI-generated SQL queries, database designs, and data-processing logic for accuracy, performance, and reasoning quality
  • Identify issues related to query structure, indexing strategies, schema design, concurrency, locking, and database optimization
  • Write high-quality reference implementations, prompts, and step-by-step explanations demonstrating correct SQL engineering methodologies
  • Compare and rank AI-generated responses based on correctness, scalability, maintainability, and contextual relevance
  • Fact-check database-related claims and validate ETL/ELT workflows, relational modeling, and data warehousing concepts
  • Create AI training content focused on SQL development, query optimization, data modeling, cloud data platforms, and large-scale database workflows
  • Test AI systems for inaccuracies, inconsistencies, and reasoning gaps in SQL engineering and database problem-solving tasks
  • Support AI model improvement through structured technical evaluations, documentation, and detailed database engineering feedback

Requirements

  • Education: Bachelor s degree or higher in Computer Science, Information Systems, Engineering, Mathematics, or a closely related technical field
  • Strong years of professional experience working with SQL in production environments as a Database Engineer, SQL Developer, Data Engineer, or similar role
  • Expert-level proficiency in SQL including complex joins, window functions, aggregation strategies, query optimization, and execution plan analysis
  • Strong experience with database performance tuning, indexing strategies, concurrency troubleshooting, relational data modeling, and data warehouse schema design
  • Hands-on experience with ETL/ELT pipelines, large-scale datasets, and modern cloud or on-premise data platforms
  • Familiarity with version control systems, CI/CD practices, collaborative database workflows, and structured engineering review processes
  • Strong English communication skills (C1 or above) with the ability to write clear technical explanations and follow detailed engineering guidelines
  • Prior experience with AI data training, annotation, or evaluating AI-generated technical content preferred along with a highly detail-oriented and systematic review approach
Originally posted on LinkedIn

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