Senior Data Engineer

Job not on LinkedIn

🔥 12 hours ago

🇦🇷 Argentina – Remote

💵 $84k - $120k / year

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Silver.dev

WebsiteLinkedInAll Job Openings

1 - 10 employees

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

Silver. dev is a company dedicated to helping remote engineers find jobs at American tech startups. Founded by engineers for engineers, Silver. dev focuses on advocating for talented individuals by offering direct positions with startups, not acting as a middleman. The company supports a wide range of job seekers, from entry-level to those seeking top-of-market salaries, and provides resources and interview preparation to help candidates succeed. Silver. dev values mission and authenticity, sharing insights through its podcast, "Tecnología Informal. " They also offer services like English coaching and career leveling resources through SilverEd.

📋 Description

• Own Fundable’s data platform from architecture through production • Build concurrent ingestion for provider APIs, webhooks, files, and web scraping, with rate limits and failure handling • Orchestrate scheduled workflows and historical backfills using Airflow, Dagster, or Prefect • Build event-driven intake with Pub/Sub or Cloud Tasks, including retries, dead-letter queues, and controlled replay of failed work • Preserve original provider payloads in Google Cloud Storage before transforming them with dbt • Establish medallion layers for raw, standardized, and curated data • Implement idempotent upserts, safe retries, replay, and historical backfills • Make data traceable to its source and safe to reprocess • Define data contracts, automated validation, pipeline tests, freshness and failure monitoring • Design and optimize PostgreSQL schemas, queries, and loading patterns • Integrate provider enrichment and LLM-based structured extraction from text

🎯 Requirements

• 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 • Physically located in Argentina