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Open nowPosted 3 hours ago

Senior Data Engineer

Clera256 open roles

Pay
$80,000 – $120,000 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 and 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 architecture and ingestion to production operations, helping provide trusted data for downstream products.

WHAT YOU'LL DO

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

- Ingest data from 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.

- Build messaging and task queue workflows with retries, dead-letter queues, and controlled replay.

- Store original payloads in cloud object storage and transform data with dbt into raw, standardized, and curated layers.

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

- 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 deployment and ongoing operations.

- Production experience with Google Cloud Platform, dbt, and workflow orchestration tools such as Airflow, Dagster, Prefect, or Temporal.

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

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

- Experience with event-driven systems, messaging or task queues, asynchronous processing, and failure recovery.

- Experience with data contracts, raw and curated storage, retention policies, automated testing, and data quality monitoring.

- Startup or small-team experience is valuable. Web scraping, entity resolution, data enrichment, and LLM-based extraction are also useful.

COMPENSATION & BENEFITS

Base salary: $80,000 to $120,000 USD annually. Visa sponsorship is not available.

LOCATION

Remote, based in Latin America.

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