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Open nowPosted 4 hours ago

Senior Data Engineer

Clera308 open roles

Where
remote
Work mode
Remote
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Your applicationOpen nowSenior Data EngineerClera · remote

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.4% 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. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 4 hours ago

Clera median: 6 days open

The posting

ABOUT THE ROLE

Join a data infrastructure and analytics 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 through production operations, supporting products with trusted data.

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 provider APIs, webhooks, files, and web scraping, with rate limiting and robust failure handling.

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

- Build event-driven systems with messaging and task queues, including retries, dead-letter queues, and controlled replay.

- Preserve original payloads in cloud storage and transform them 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 providers and LLM-based structured extraction.

WHAT WE'RE LOOKING FOR

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

- Production experience with dbt and Google Cloud Platform, plus workflow orchestration using Airflow, Dagster, Prefect, Temporal, or a comparable tool. Airflow experience is preferred.

- 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 reliable incremental loading.

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

- Experience with raw and curated storage, retention policies, data validation, pipeline testing, and monitoring.

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

COMPENSATION & BENEFITS

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

LOCATION

Remote, candidates must be based in Latin America.

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