Data Engineer

Alt

Completely RemoteFull TimeInformation Technology
Posted Yesterday

Job description

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 data infrastructure by modernizing storage and processing technologies
  • Partner with internal teams to ensure pipelines deliver clean, standardized data that meets product requirements

Requirements

  • 3-4 years of experience in data engineering
  • 3+ years of hands-on Python proficiency
  • Experience with large-scale data processing using dataframe technologies (Pandas, Polars, PySpark, or similar)
  • Experience with pipeline orchestration tools (Airflow, Dagster, or similar)
  • Track record of owning at least one data pipeline end-to-end within the past 2 years
  • Solid SQL skills
  • Previous startup experience

Preferred Qualifications

  • Experience with web scraping technologies (Selenium, Puppeteer, Beautiful Soup)
  • Familiarity with AWS cloud services
  • Experience with LLM-based automation tools for data extraction
  • Interest in trading cards or alternative asset markets

Benefits

  • $100/month work-from-home stipend
  • $200/month wellness stipend
  • WeWork office stipend
  • 401(k) retirement benefits
  • Flexible vacation policy
  • Generous paid parental leave
  • Competitive healthcare benefits including HSA

About the Company

Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place.

Skills & tools

PythonSQLAirflow

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 013-4 years data engineering experience
  2. 023+ years Python proficiency
  3. 03Large-scale data processing experience
  4. 04Pipeline orchestration experience
  5. 05SQL skills
  6. 06Startup experience
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