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Alt

Data Engineer

Remote (Remote)$155k–$165kmidAdded 1 month ago

About this role

Alt is seeking a Data Engineer to build and maintain critical data pipelines that power their alternative asset trading platform. You'll own infrastructure for ingesting marketplace data, ensuring data quality, and delivering insights that drive pricing and business intelligence across the platform.

What you'll do

  • Design and optimize data pipelines to scrape, process, and ingest transaction data from multiple marketplaces
  • Build monitoring and alerting systems to track pipeline health, latency, and data coverage
  • Modernize data infrastructure by evaluating storage and processing technologies to improve cost and reliability
  • Collaborate with product and analytics teams to understand data needs and deliver clean, standardized datasets
  • Own data pipelines end-to-end from ingestion through delivery to stakeholders

What they're looking for

  • Python (3+ years)
  • Data processing frameworks (Pandas, Polars, PySpark)
  • Pipeline orchestration tools (Airflow, Dagster)
  • SQL for analysis and transformation
  • Web scraping technologies (nice-to-have)
  • AWS or cloud infrastructure (nice-to-have)
  • Data quality and validation mindset
  • Startup environment experience

Benefits

  • $155,000–$165,000 base salary plus equity
  • $100/month work-from-home stipend
  • $200/month wellness stipend
  • 401(k) retirement benefits and competitive healthcare coverage
  • Flexible vacation and generous paid parental leave
  • WeWork office stipend available
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Alt

Alt operates an alternative asset trading platform powered by critical data pipelines and marketplace infrastructure. The company is hiring data engineers to build and maintain systems for data ingestion, quality assurance, and business intelligence that drive pricing decisions across their platform.

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Likely interview questions

  • Walk us through a data pipeline you've owned end-to-end. What were the biggest challenges around data quality and freshness, and how did you solve them?
  • We ingest transaction and listing data from dozens of external marketplaces. How would you approach designing a scalable pipeline to handle multiple data sources with different formats and update frequencies?
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