Senior Data Engineer

Department: Engineering

Location: remote

Employment Type: FullTime

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 Youll 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 Were 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.