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Open nowPosted 3 hours ago

Senior Data Engineer, LATAM

Clera278 open roles

Where
remote
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Remote
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Your applicationOpen nowSenior Data Engineer, LATAMClera · remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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

  4. CV RocketApplied on Clera's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.4% 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. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%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 infrastructure and analytics team building a platform that turns information from multiple sources into reliable, current company intelligence. You will own the platform end-to-end, from architecture and ingestion through production operations.

WHAT YOU'LL DO

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

- Build intake pipelines for 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 messaging and task queue systems with retries, dead-letter queues, and controlled replay.

- Preserve source payloads in Google Cloud 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 across multiple sources, with ownership from architecture through deployment and ongoing operations.

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

- 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 reliable incremental loading.

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

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

- Helpful experience includes web scraping, entity resolution, company and people data enrichment, LLM-based extraction, and building platforms from scratch in small teams.

COMPENSATION & BENEFITS

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

LOCATION

Fully remote for candidates based in Latin America.

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