ETL Developer (Freelancer)

About the Role

We are seeking an ETL Developer (Freelancer) to support advanced AI evaluation initiatives focused on data integration, pipeline automation, data transformation, and scalable analytics workflows.

In this role, you will work with AI-generated outputs related to ETL/ELT processes, database systems, data warehousing, workflow orchestration, and cloud-based data pipelines, helping improve how AI models understand and solve real-world data engineering challenges.

Key Responsibilities

• Create deliverables addressing common requests within your professional domain.
• Annotate and evaluate AI-generated responses related to ETL workflows and data engineering systems.
• Review peer-developed deliverables to improve AI research quality and consistency.
• Assess AI outputs for data accuracy, pipeline reliability, scalability, and workflow efficiency.
• Identify data inconsistencies, transformation errors, integration issues, or performance bottlenecks in AI-generated solutions and provide structured feedback.
• Support workflows involving data extraction, transformation, loading, warehousing, and orchestration systems.

Skills & Qualifications

• Background in Data Engineering, Computer Science, Information Systems, or related fields.
• Strong understanding of ETL/ELT processes, database systems, and data pipeline architectures.
• Proficiency in SQL and familiarity with Python, Spark, Airflow, SSIS, Informatica, Talend, dbt, or similar ETL tools is preferred.
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Understanding of data warehousing, workflow automation, and large-scale data processing systems.
• Strong analytical and troubleshooting skills.
• Ability to work independently in a remote, fast-paced environment.

What You'll Learn

As an ETL Developer (Freelancer), you will gain hands-on experience with AI-generated outputs, data engineering systems, and cloud-based data pipelines.

You will learn to improve AI systems used for intelligent data operations, analytics automation, and enterprise-scale data workflows.

This role will help you develop strong analytical and troubleshooting skills, as well as the ability to work independently in a remote environment.

Resume Tip

When applying for this role, make sure to highlight your experience with ETL/ELT processes, database systems, and data pipeline architectures.

Include specific examples of your work with SQL, Python, Spark, Airflow, SSIS, Informatica, Talend, dbt, or similar ETL tools, as well as your experience with cloud platforms such as AWS, Azure, or GCP.

This will help demonstrate your skills and qualifications for the role, and increase your chances of being selected for an interview.