Role overview

Data Engineer

Requirements and responsibilities

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What you'll do here

  • 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.

This is a perfect fit if you...

  • Care deeply about data quality and understand that extraction is only the beginning - the real value comes from delivering clean and usable data.
  • Thrive in a startup environment where you can make immediate impact and own critical systems end-to-end.
  • Take an incremental approach to improvements, preferring evidence-based decisions over wholesale replacements.
  • Are intellectually curious about how data flows through systems and passionate about automation opportunities.
  • Want to work at the intersection of data engineering and product, understanding how your pipelines directly impact business outcomes.

Must-haves:

  • 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

Nice-to-haves:

  • 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

What You’ll Get From Us

  • A seat at the table to help shape the future of Alt and the alternative asset space
  • Autonomy and ownership on projects that matter
  • $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, for you and your dependent(s)
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Browse stack
FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackAWS, LLM, PythonPrimary skills
Location1 accepted countryEligibility

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