Data Engineer

Alt is unlocking the value of alternative assets, particularly in the trading-card market, and is backed by notable leaders and athletes. They are seeking a Data Engineer to own critical data infrastructure, ensuring accurate data delivery that drives pricing decisions and market analytics across their platform.

Responsibilities:

• Design, optimize and own data pipelines that scrape, process and ingest transaction and listing data from major auction houses and marketplaces
• Build comprehensive monitoring and alerting systems to track latency, uptime, and coverage metrics across all data sources
• Continuously improve our data infrastructure by modernizing storage and processing technologies, reducing manual interventions, and optimizing for cost, performance, and reliability
• Partner with internal teams to understand data usage patterns and ensure pipelines deliver clean, standardized data that meets product requirements

Requirements:

• 3-4 years of experience in data engineering or related fields
• Strong Python proficiency with at least 3 years of hands-on experience
• Proven experience with large-scale data processing using dataframe technologies (Pandas, Polars, PySpark, or similar)
• Hands-on experience with pipeline orchestration tools (Airflow, Dagster, or similar DAG-based systems)
• Track record of owning at least one data pipeline end-to-end within the past 2 years
• Solid SQL skills for data analysis and transformation
• Previous startup experience - you understand the pace and adaptability required in a fast-moving environment
• A pragmatic mindset focused on delivering value incrementally rather than pursuing perfection
• Experience with web scraping technologies (Selenium, Puppeteer, Beautiful Soup)
• Familiarity with data infrastructure and cloud services (AWS preferred)
• Interest in or knowledge of trading cards, collectibles, or alternative asset markets
• Experience with LLM-based automation tools for data extraction and processing