Senior Data Engineer, LATAM

About the role

A data infrastructure and analytics team is looking for a Senior Data Engineer to build a platform that turns information from many sources into reliable, current company intelligence. You will own the platform end-to-end, from architecture and ingestion through production operations. The position is fully remote for candidates based in Latin America.

Key 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.
• Persist 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.

Required profile

• 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 with Airflow, Dagster, Prefect, Temporal or a comparable tool (Airflow preferred).
• 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: web scraping, entity resolution, company and people data enrichment, LLM-based extraction, and building platforms from scratch in small teams.

Required skills

• Strong Python, including asynchronous HTTP and concurrent processing with asyncio, aiohttp or HTTPX.
• Strong SQL and PostgreSQL, including data modeling, query optimization and reliable incremental loading.

What we offer

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