Founding Data Engineer (Pricing/Comps)

📋 Description

• Design and build scalable data pipelines and infrastructure supporting pricing and
• Develop systems for collecting, ingesting, cleaning, transforming, and organizing data from
• Establish reliable data models and workflows that support accurate pricing analysis and
• Build data infrastructure with scalability, reliability, maintainability, and data quality in mind.
• Collaborate closely with engineering and product teams to translate business and product
• Identify opportunities to automate manual data processes and improve the efficiency of data

🎯 Requirements

• Professional experience in data engineering, analytics engineering, software engineering, or a
• Strong experience designing and maintaining data pipelines, data models, and data infrastructure.
• Proficiency with SQL and a modern programming language such as Python.
• Experience working with structured and unstructured datasets and transforming raw data into
• Strong understanding of data architecture, ETL/ELT processes, data quality, and scalable data
• Ability to work effectively in an early-stage or highly autonomous environment where requirements

🎁 Benefits

• Full-time employment.
• Fully remote work.
• Founding-level ownership and influence over the data engineering function.
• Opportunity to shape data architecture, infrastructure, and engineering practices from an early
• Significant autonomy and direct impact on the development of the product and platform.
• Opportunity to work on challenging pricing and comparable-market data problems.