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Senior Data Engineer

🕒 4 days ago
PythonSQLPostgreSQLDbt
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📜 Description

  • Design and build a multi-source platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.
  • Ingest provider APIs, webhooks, files, and scraped data with rate limiting and robust failure handling.
  • Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect.
  • Build queue-based event systems with retries, dead-letter handling, and controlled replay.
  • Preserve source data in cloud storage and use dbt to create raw, standardized, and curated layers.
  • Implement idempotent loading, data contracts, validation, pipeline tests, freshness monitoring, and failure alerts.

🛠️ Requirements

  • At least 5 years building and operating production data platforms, with ownership from architecture through ongoing operations; 8 or more years is a plus.
  • Production experience with workflow orchestration such as Airflow, Dagster, Prefect, or Temporal, including dependencies, retries, and failure recovery. Airflow is preferred.
  • Hands-on production experience with dbt and Google Cloud Platform.
  • Strong Python skills, including asynchronous HTTP and concurrent processing with asyncio, aiohttp, or HTTPX, plus strong SQL and PostgreSQL skills.
  • Experience with messaging or task queues, data contracts, raw and curated storage, retention policies, automated validation, and monitoring.
  • Web scraping experience with tools such as Scrapy, Playwright, Selenium, or Beautiful Soup is valuable, as is experience with entity resolution, data enrichment, or LLM-based extraction.
  • Experience building platforms from scratch or working with broad ownership in an early-stage team is a plus.

✨ Benefits

  • Base salary: $120,000 to $160,000 USD annually. Visa sponsorship is not available.
Full job description

About the Role

Join a data infrastructure team building a platform that turns information from multiple sources into reliable, up-to-date company intelligence. You will own the platform end-to-end, from ingestion architecture to production operations, supporting data products with trusted records.

What You'll Do

  • Design and build a multi-source platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.

  • Ingest data from provider APIs, webhooks, files, and web scraping, with rate limiting and robust failure handling.

  • Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect.

  • Build queue-based event systems with retries, dead-letter handling, and controlled replay.

  • Preserve original data in cloud storage and transform it with dbt into raw, standardized, and curated layers.

  • Implement idempotent loading, data contracts, validation, pipeline tests, freshness monitoring, and failure alerts.

  • Design and optimize PostgreSQL schemas and loading patterns, and integrate enrichment and LLM-based structured extraction.

What We're Looking For

  • At least 5 years building and operating production data platforms, with ownership from architecture through ongoing operations; 8 or more years is a plus.

  • Production experience with workflow orchestration such as Airflow, Dagster, Prefect, or Temporal, including dependencies, retries, and failure recovery. Airflow is preferred.

  • Hands-on production experience with dbt and Google Cloud Platform.

  • Strong Python skills, including asynchronous HTTP and concurrent processing with asyncio, aiohttp, or HTTPX, plus strong SQL and PostgreSQL skills.

  • Experience with messaging or task queues, data contracts, raw and curated storage, retention policies, automated validation, and monitoring.

  • Web scraping experience with tools such as Scrapy, Playwright, Selenium, or Beautiful Soup is valuable, as is experience with entity resolution, data enrichment, or LLM-based extraction.

  • Experience building platforms from scratch or working with broad ownership in an early-stage team is a plus.

Compensation & Benefits

Base salary: $120,000 to $160,000 USD annually. Visa sponsorship is not available.

Location

Remote within the United States. New York-based candidates are welcome, but New York residency is not required.

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