

Crossing Hurdles
Senior SQL Engineer | $48/hr Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior SQL Engineer contract position, remote, paying up to $48/hr. Requires a Bachelor's degree in a technical field and strong SQL expertise. Experience with ETL/ELT, database optimization, and AI-related tasks preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
384
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🗓️ - Date
May 9, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Database Design #Data Warehouse #SQL Queries #Scala #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #SQL (Structured Query Language) #Indexing #Schema Design #Cloud #Mathematics #Documentation #Database Performance #Data Engineering #Data Modeling #Computer Science #Datasets #Version Control
Role description
Senior SQL Engineer Work 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
Senior SQL Engineer Work 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





