Alt is looking to build real-time pricing at scale to power its marketplace for alternative assets, starting with trading cards. The company needs a data engineer to own and develop the critical data infrastructure that ingests and processes data from external marketplaces to provide accurate and fresh pricing information, market analytics, and business intelligence.
Requirements
- 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
- Experience with web scraping technologies (Selenium, Puppeteer, Beautiful Soup)
- Familiarity with data infrastructure and cloud services (AWS preferred)
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.
Other
- 3-4 years of experience in data engineering or related fields
- 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
- Interest in or knowledge of trading cards, collectibles, or alternative asset markets
- Experience with LLM-based automation tools for data extraction and processing
