Data Engineer

Proxy Foods AI is an advanced AI-powered product development and recipe formulation platform. They are seeking a motivated Data Engineer to build and maintain the data foundation behind their platform, focusing on ETL/ELT pipelines and data models to support analytics and product experiences.

Responsibilities:

• Build and maintain reliable ETL/ELT pipelines across APIs, databases, files, and external data sources
• Clean, normalize, and structure complex datasets related to ingredients, specifications, nutrition, costs, and compliance
• Design and improve data models and storage layers for application features, analytics, and reporting
• Collaborate with product, engineering, and domain experts to translate messy real-world workflows into scalable data systems
• Implement data quality checks, validation rules, monitoring, and alerting across critical pipelines
• Leverage AI/LLM-assisted workflows where appropriate to improve data cleansing, normalization, enrichment, and structuring of complex datasets, with strong validation and quality controls
• Improve performance, maintainability, and observability of our data stack

Requirements:

• 3+ years of experience in data engineering, analytics engineering, or backend/data-focused software roles
• Strong SQL skills and solid Python experience in production environments
• Hands-on experience building and maintaining ETL/ELT pipelines
• Experience working with relational databases, data warehouses, and API-based integrations
• Strong understanding of data modeling, transformation, and data quality practices
• Comfort working with semi-structured data such as JSON, CSV, and external supplier/customer datasets
• Ability to move quickly, prioritize well, and work independently in a startup environment
• Clear communicator who enjoys collaborating across technical and non-technical teams
• Exposure to AI/LLM applications for data extraction, normalization, enrichment, or retrieval-style workflows is a plus