Data Engineer

📋 Description

\n
• Design, optimize and own data pipelines ingesting data from marketplaces.
\n
• Build monitoring to track latency, uptime, and coverage.
\n
• Modernize storage and processing for cost, performance, reliability.
\n
• Partner with internal teams to ensure clean, standardized data.
\n

🎯 Requirements

\n
• 3-4 years of experience in data engineering or related fields.
\n
• Strong Python proficiency with at least 3 years of hands-on.
\n
• Experience with large-scale data processing using Pandas, Polars, PySpark, or similar.
\n
• Hands-on experience with pipeline orchestration tools such as Airflow or Dagster.
\n
• Track record of owning at least one data pipeline end-to-end within the past 2 years.
\n
• Solid SQL skills for data analysis and transformation.
\n

Nice-to-haves

\n
• Experience with web scraping technologies such as Selenium, Puppeteer or Beautiful Soup.
\n
• Familiarity with data infrastructure and cloud services, AWS preferred.
\n
• Interest in or knowledge of trading cards, collectibles, or alt asset markets.
\n
• Experience with LLM based automation tools for data extraction and processing.
\n

What Youll Get From Us

\n
• A seat at the table shaping Alt and the alt asset space.
\n
• Autonomy and ownership on projects that matter.
\n
• $100/month work-from-home stipend.
\n
• $200/month wellness stipend.
\n
• Flexible vacation policy.
\n
• Base salary range: $155,000–$165,000, plus equity.
\n