About this role
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.