Description review
Senior Data Engineer, LATAM
Clera · remote · back to the listing
HR standards
71/100
solid
Title ↔ description
95/100
strong
Reads as
Data Engineer
100% confident
How others title the same work
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- Senior Data Engineer Camber
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- Forecasting Research Institute (FRI) | Data Engineer | REMOTE | Full-time Forecasting Research Institute (FRI)
What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
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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.
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.