SQL Developer

Job Title: SQL Developer

Job Type: Contractor

Location: Remote

Job Summary:

Join our customer’s team as an expert SQL Developer to play a pivotal role in shaping AI training processes. This unique remote opportunity is suited for professionals with substantial experience in SQL, ready to leverage their expertise in a dynamic, innovative environment. Your work will directly impact the development of cutting-edge AI technologies.

Key Responsibilities:

• Design, develop, and optimize complex SQL queries to support AI data training pipelines and analytics.
• Collaborate with AI engineers and data scientists to understand data requirements and implement effective data solutions.
• Analyze large datasets, extract insights, and ensure data integrity for machine learning workflows.
• Implement and maintain database structures to facilitate efficient data processing and retrieval.
• Document processes and write clear technical and user-facing documentation for SQL workflows.
• Participate in code reviews, troubleshooting, and performance tuning of SQL scripts and stored procedures.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Required Skills and Qualifications:

• Minimum 4 years of hands-on experience as an SQL Developer, with a track record of delivering high-quality database solutions.
• Deep expertise in writing, optimizing, and troubleshooting advanced SQL queries and stored procedures.
• Strong knowledge of data modeling, normalization, and relational database design principles.
• Exceptional written and verbal communication skills, with the ability to explain complex technical concepts succinctly.
• Experience working in remote, cross-functional teams and collaborating with diverse stakeholders.
• Demonstrated ability to work independently and proactively within fast-paced, evolving project requirements.
• Keen attention to detail and a passion for data-driven problem solving.

Preferred Qualifications:

• Experience supporting AI or machine learning data pipelines or similar data-driven projects.
• Background in AI training data curation or annotation workflows.
• Familiarity with cloud-based database solutions and data engineering tools.