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Open nowPosted 3 hours ago

Senior Data Engineer

Clera256 open roles

Pay
$100,000 – $140,000 a year
Where
remote
Work mode
Remote
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Your applicationOpen nowSenior Data EngineerClera · remote

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  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 6 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 3 hours ago

Clera median: 6 days open

The posting

ABOUT THE ROLE

Join a data engineering team building a platform that turns information from many sources into reliable, up-to-date company intelligence. You will own the platform end to end, from architecture and ingestion through production operations, supporting products with trusted data.

WHAT YOU'LL DO

- Design a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.

- Build resilient intake from provider APIs, webhooks, files, and web scraping, with rate limits and robust failure handling.

- Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect.

- Develop event-driven processing with messaging or task queues, including retries, dead-letter queues, and controlled replay.

- Preserve source payloads in Google Cloud Storage and transform them with dbt into raw, standardized, and curated data layers.

- Implement idempotent upserts, data contracts, automated validation, pipeline tests, and monitoring for freshness and failures.

- Design and optimize PostgreSQL schemas and loading patterns for reliable downstream use.

- Integrate data enrichment and LLM-based structured extraction into the platform.

WHAT WE'RE LOOKING FOR

- At least 5 years building and operating production data platforms that ingest data from multiple sources, with ownership from architecture through ongoing operation.

- Production experience with workflow orchestration, including dependencies, retries, and failure recovery. Airflow is preferred; Dagster, Prefect, Temporal, or comparable tools are relevant.

- Hands-on production experience with dbt and Google Cloud Platform.

- Strong Python skills, including asynchronous HTTP and concurrent processing with tools such as asyncio, aiohttp, or HTTPX.

- Strong SQL and PostgreSQL skills, including data modeling, query optimization, and incremental loading.

- Experience with event-driven systems, queues, data contracts, raw and curated storage, retention, testing, and monitoring.

- Experience building a platform or substantial pipelines from scratch is valued. Web scraping, entity resolution, enrichment, LLM-based extraction, and startup or small-team experience are also useful.

COMPENSATION & BENEFITS

Base salary: $100,000 to $140,000 USD annually. Visa sponsorship is not available.

LOCATION

Fully remote for candidates based in Europe, including the United Kingdom, Iceland, Liechtenstein, Norway, Switzerland, and Ukraine.

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