Data Engineer

• Job Description
• Data Engineer
• Contractor
• Remote

Job Summary

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

• Design, build, and maintain scalable ETL pipelines to support data ingestion, transformation, and integration from multiple sources.
• Develop and optimize logical and physical data models within modern data warehousing environments.
• Collaborate closely with cross-functional teams to understand data requirements and deliver reliable data solutions.
• Monitor, troubleshoot, and enhance data infrastructure for optimal performance and scalability.
• Ensure data accuracy, consistency, and security across all platforms and solutions.
• Document technical processes, system designs, and data flows with clarity and precision.
• Leverage advanced SQL and Python scripting to automate data workflows and processes.

Required Skills and Qualifications

• Expert-level proficiency in MySQL for complex querying, schema design, and performance tuning.
• Strong programming skills in Python for data manipulation and automation.
• Hands-on experience building and maintaining ETL pipelines in production environments.
• Demonstrated expertise with data warehousing concepts and best practices.
• Excellent written and verbal communication skills, with a focus on clear documentation and collaborative problem-solving.
• Proven ability to manage and prioritize tasks in a dynamic, remote work setting.
• Detail-oriented mindset with a commitment to delivering high-quality data solutions.

Preferred Qualifications

• Experience with cloud-based data warehouse platforms (e.g., AWS Redshift, Snowflake, or Google BigQuery).
• Background in data modeling or data architecture.
• Familiarity with agile development methodologies.