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JOB AT CLERA

Senior Data Engineer

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Application facts

  • Application form: from 14 forms we checked, none asks for a cover letter. What it asks
  • Pay benchmark: Data Engineer postings that list pay show a $145K median (2,620 postings)
  • Pay benchmark: Clera postings that list pay show a $185K median (146 postings)

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.

What the Clera application asks

From 14 application forms we checked.

  • Contact details: 14 of 14 forms
  • Resume or CV: 14 of 14 forms

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