Senior Data Engineer
Clera · Remote · Location not stated
First recorded by Psst: 30 October 2026. Sign in with Google to continue to the employer. A free account is enough.
About the job
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.
- Reposted 3 times
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