Data Engineer

The Data Engineer will build and maintain data pipelines to collect and process pricing and sales data from various sources. They will ensure data quality and reliability while collaborating with the team to improve pricing systems.

Key Responsibilities

• Build and maintain pipelines that collect pricing and sales data from marketplaces, APIs, auction results, and other external sources.
• Clean and normalize inconsistent card data, including sets, card numbers, languages, editions, grading companies, and grades.
• Develop systems to match the same collectible across multiple data sources.
• Identify duplicate, missing, incorrect, manipulated, or anomalous pricing records.
• Build practical pricing logic using recent sales, available listings, historical trends, and comparable cards.
• Create internal datasets and tools that help the team evaluate inventory, product economics, and buyback prices.
• Monitor data quality and the reliability of pricing outputs.
• Maintain and operate the infrastructure that runs our data pipelines - uptime, scheduling, deployments, incident response.

Qualifications & Requirements

• E-commerce
• Collectibles
• Financial Data

Preferred / Nice-to-Have Qualifications

• Experience with marketplace, e-commerce, financial, or alternative-asset data.
• Familiarity with entity resolution, fuzzy matching, anomaly detection, or time-series data.
• Experience deploying scheduled pipelines and production data services.
• Familiarity with Pokémon, One Piece, sports cards, or graded collectibles.