Senior Data Engineer (Remote - US only)
New York-based candidates are welcome, but New York residence is not required. Visa sponsorship is not available. A data infrastructure and analytics team is building a platform that gathers information from many different sources and turns it into dependable, up-to-date business intelligence. The successful candidate will take ownership of the platform from initial architecture and data ingestion through to day-to-day production operations. The team is small and works hands-on across the full data lifecycle.
What you'll do
- Design and build a multi-source data platform that supports concurrent ingestion, event-driven processing, and orchestrated batch workflows.
- Ingest data from provider APIs, webhooks, files, and web scraping, applying rate limits and strong failure handling.
- Run scheduled pipelines and historical backfills using an orchestrator such as Airflow, Dagster, or Prefect.
- Build event-driven pipelines with message queues or task queues, including retries, dead-letter queues, and controlled replay.
- Store raw payloads in Google Cloud Storage and transform them with dbt into raw, standardized, and curated layers. Design and tune PostgreSQL schemas and loading patterns, and add LLM-based structured extraction and enrichment where useful.
What you need
- At least 5 years of experience building and operating production data platforms that pull from multiple sources, from architecture through ongoing operations.
- Production experience with workflow orchestration, including dependencies, retries, and failure recovery. Airflow experience is preferred.
- Hands-on production experience with dbt and Google Cloud Platform.
- Strong Python skills, including asynchronous HTTP and concurrency (asyncio, aiohttp, HTTPX, or similar), and strong SQL and PostgreSQL skills including data modeling, query tuning, and incremental loading.
- Experience with idempotent upserts, data contracts, automated validation, pipeline testing, and freshness monitoring. Web scraping, entity resolution, BigQuery, or Dataform experience is a plus.
Applicants must be based in: United States.
How to apply
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