Silver - Fundable - Senior Data Engineer

• Experience building multi-source production data platforms from zero to one, from initial architecture and pipeline implementation through deployment and ongoing operation. • Production experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or Temporal, including dependencies, retries, and failure recovery. Airflow experience is preferred. • Hands-on production experience with dbt and GCP. • Experience building event-driven systems with messaging or task queues, including asynchronous processing and failure recovery. • Strong SQL and PostgreSQL skills, including data modeling, query optimization, and reliable incremental loading. Experience with data contracts, raw and curated storage, retention policies, and automated quality checks. • Strong Python skills, including asynchronous HTTP and concurrent processing with tools such as asyncio, aiohttp, or HTTPX. • Hands-on web scraping experience with tools such as Scrapy, Playwright, Selenium, or Beautiful Soup, including concurrent scraping, rate limits, and failure handling. • Experience working in startups or small engineering teams, with broad ownership and changing priorities. • Entity resolution experience is especially valuable: matching company and people records across sources and reconciling duplicates into consistent entities. • LLM-based structured extraction or company and people data enrichment. • Familiarity with BigQuery and Dataform.