Senior Data Engineer (Python/GCP)

Location: Remote, Argentina

Salary: $84K–$120K per year

Company

Fundable is a startup data platform that helps investors and other teams discover and research companies, investors, funding activity, and people.

What you will do

• Own the data platform from architecture through production and ongoing operation.
• Build concurrent ingestion from provider APIs, webhooks, files, and web scraping with rate limits and failure handling.
• Orchestrate scheduled workflows, historical backfills, and event-driven intake with retries, dead-letter queues, and controlled replay.
• Preserve original provider payloads in Google Cloud Storage and transform them with dbt through raw, standardized, and curated data layers.
• Implement idempotent upserts, safe retries, traceability, automated validation, pipeline tests, and monitoring for freshness and failures.
• Integrate provider enrichment and LLM-based structured extraction from text.

Requirements

• Experience building multi-source production data platforms from zero to one, including architecture, pipeline implementation, 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 asyncio, aiohttp, or HTTPX.
• Hands-on web scraping experience with Scrapy, Playwright, Selenium, or Beautiful Soup, including concurrent scraping, rate limits, and failure handling.

Nice to have

• Experience working in startups or small engineering teams with broad ownership and changing priorities.
• Entity resolution experience, including matching company and people records across sources and reconciling duplicates into consistent entities.
• LLM-based structured extraction or company and people data enrichment experience.
• Familiarity with BigQuery and Dataform.

Culture & Benefits

• Remote contract role based in Argentina.
• Broad ownership of the data platform and its production operation.