AI Data Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Extract, query, and transform data from the data warehouse (BigQuery) to provide insights on complex, multi-dimensional business queries related to inventory, organic sales, traffic, sponsored advertisements, and DSP.

• Comprehend the entire schema of the data warehouse — identifying which tables contain specific data, how they relate, and the necessary joins for precise cross-domain analysis.

• Collaborate with internal teams to pinpoint the most prevalent and valuable analytical inquiries that clients and team members require answers to.

• Design and construct automated data pipelines and queries that supply AI tools with clean, structured, and contextually relevant data.

• Develop and enhance Claude Skills and Gemini Gems that empower conversational AI to perform reliable eCommerce data analysis — partnering directly with prompt engineers to embed analytical methodologies into AI workflows.

• Work alongside prompt engineers to document best practices for data analysis (including statistical methods, benchmarking techniques, and trend identification) to enable AI tools to mimic expert-level reasoning.

• Continuously enhance and validate AI-generated results against manual analyses to ensure precision and reliability.

• Assist in automating recurring analytical processes into chatbot-like interfaces that can be utilized by the broader team without SQL expertise.

• Identify operational inefficiencies and repetitive tasks within the organization, then design and implement AI agents to automate these processes — from data reporting to client deliverable creation to internal workflow management.

• Construct, test, and sustain AI agents utilizing Claude (Claude Code, Claude Co-work) and Gemini, ensuring consistent performance and team adoption.

⛳️ Requirements

• Advanced proficiency in SQL — including complex queries, multi-table joins, window functions, and CTEs.

• Operational proficiency in Python for data manipulation and analysis (using libraries such as Pandas, NumPy, or similar).

• Familiarity with JavaScript and JSON file architectures.

• Practical experience with Google BigQuery.

• Background in working with or developing for large language models — particularly Gemini (Gems) and/or Claude (Claude Code, Claude Co-work, Skills).

• Practical experience in building and managing AI agents that automate business functions and routine tasks.

• Strong understanding of data warehousing principles: schema design, table relationships, and data modeling.

• Capability to convert business inquiries into precise, efficient queries and subsequently into AI-readable instructions.

• Sufficient business insight and operational awareness to independently identify automation potential — not merely executing assigned tasks, but recognizing inefficiencies or delays and proposing solutions.

• Familiarity with digital commerce or eCommerce data (including sales, advertising, inventory, and traffic metrics) — while not necessarily Amazon-specific, a solid understanding of the domain is essential.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional growth and development.

• Supportive and inclusive work environment.