Clera - Senior Data Engineer, LATAM
Requirements
• 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.
Responsibilities
• 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.
Benefits
• Base salary: $80,000 to $120,000 USD annually. Visa sponsorship is not available. • Fully remote for candidates based in Latin America.
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