Are you a data engineer who thrives on building robust pipelines and solving complex data challenges? In this role, you'll own Alt's critical data infrastructure that powers our pricing model and marketplace insights by ingesting transaction and listing data from dozens of external marketplaces. You'll be responsible for ensuring our data pipelines deliver fresh, accurate information that drives pricing decisions, market analytics, and business intelligence across the entire platform.
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.

Requirements

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
Experience with web scraping technologies (Selenium, Puppeteer, Beautiful Soup) (Nice-to-have)
Familiarity with data infrastructure and cloud services (AWS preferred) (Nice-to-have)
Interest in or knowledge of trading cards, collectibles, or alternative asset markets (Nice-to-have)
Experience with LLM-based automation tools for data extraction and processing (Nice-to-have)

Benefits

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)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

data engineeringPythondataframe technologiesPandasPolarsPySparkSQLweb scrapingdata pipeline orchestrationLLM-based automation tools

adaptabilitypragmatic mindsetvalue deliveryproblem-solving