Data Engineer

About the role

Join Alt, a fast-growing startup in the alternative asset market. As a Data Engineer, you will own the critical data infrastructure that powers our pricing model and marketplace insights. You will design, optimize, and manage data pipelines, build monitoring systems, and continuously improve our data infrastructure. You will also partner with internal teams to ensure clean, standardized data delivery. Benefits include medical, dental, and vision coverage, unlimited PTO, and access to WeWork. Key missions: In this role, you'll be responsible for designing, optimizing, and owning data pipelines that scrape, process, and ingest transaction and listing data from major auction houses and marketplaces.. You'll ensure that our data pipelines deliver fresh, accurate information that drives pricing decisions, market analytics, and business intelligence across the entire platform.. You'll build comprehensive monitoring and alerting systems to track latency, uptime, and coverage metrics across all data sources. Profile: - A data engineer who thrives on building robust pipelines and solving complex data challenges - Proven experience with large-scale data processing using dataframe technologies (Pandas, Polars, PySpark, or similar) - Track record of owning at least one data pipeline end-to-end within the past 2 years - Strong Python proficiency with at least 3 years of hands-on experience - A pragmatic mindset focused on delivering value incrementally rather than pursuing perfection - Previous startup experience - you understand the pace and adaptability required in a fast-moving environment - 3-4 years of experience in data engineering or related fields - Hands-on experience with pipeline orchestration tools (Airflow, Dagster, or similar DAG-based systems) - Solid SQL skills for data analysis and transformation - Interest in or knowledge of trading cards, collectibles, or alternative asset markets - Experience with LLM-based automation tools for data extraction and processing - Experience with web scraping technologies (Selenium, Puppeteer, Beautiful Soup) - Familiarity with data infrastructure and cloud services (AWS preferred) - Are intellectually curious about how data flows through systems and passionate about automation opportunities - Thrive in a startup environment where you can make immediate impact and own critical systems end-to-end - Care deeply about data quality and understand that extraction is only the beginning - the real value comes from delivering clean and usable data - Take an incremental approach to improvements, preferring evidence-based decisions over wholesale replacements - Want to work at the intersection of data engineering and product, understanding how your pipelines directly impact business outcomes