We are building a data infrastructure platform that turns multi-source information into reliable company intelligence.
You will own the platform end-to-end, from ingestion architecture to production operations.

What you'll do:

Design and build a multi-source platform with 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, build queue-based event systems, and optimize PostgreSQL schemas and loading patterns.

What we're looking for:

At least 5 years building and operating production data platforms, with broader ownership.
Production experience with Airflow, dbt, Google Cloud Platform, and strong Python and SQL skills.
Experience with messaging or task queues, data contracts, validation, monitoring, and web scraping is valuable.

Compensation & benefits:

Base salary: $120,000 to $160,000 USD annually.
Remote within the United States; NY residency not required.
Visa sponsorship is not available.

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They are building a data platform that converts multi-source information into trusted company intelligence. It is an early-stage team where engineers own their platform end-to-end.

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