9 months ago
Remote, United StatesMid Level
Base Salary
$155k - $165k/yr
Responsibilities
- Design, optimize, and own pipelines that scrape, process, and ingest transaction and listing data from major auction houses and marketplaces.
- Build monitoring and alerting systems for data-source latency, uptime, and coverage metrics.
- Modernize storage and processing technologies while improving cost, performance, reliability, and automation.
- Collaborate with internal teams to understand data usage and deliver clean, standardized data that meets product requirements.
Requirements
- Require 3–4 years of experience in data engineering or related fields.
- Require at least 3 years of hands-on Python experience.
- Require experience with large-scale data processing using dataframe technologies such as Pandas, Polars, or PySpark.
- Require hands-on experience with pipeline orchestration tools such as Airflow or Dagster.
- Require ownership of at least one data pipeline end-to-end within the past 2 years.
- Require solid SQL skills for data analysis and transformation.
- Require previous startup experience and a pragmatic, incremental approach to delivering value.
- Prefer experience with Selenium, Puppeteer, or Beautiful Soup for web scraping.
- Prefer familiarity with data infrastructure and cloud services, especially AWS.
- Interest in trading cards, collectibles, or alternative asset markets is preferred.
- Prefer experience with LLM-based automation tools for data extraction and processing.
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 an HSA, for employees and dependents.
- The posting states a base salary range of $155,000–$165,000 plus equity.