[Hiring] Senior Data Engineer @Clera

Role Description

Join a data and infrastructure 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 to production operations, helping provide trusted data for downstream products.

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 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.
• Build messaging and task queue workflows with retries, dead-letter queues, and controlled replay.
• Store original payloads in cloud object 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.

Qualifications

• At least 5 years building and operating production data platforms, with ownership from architecture through deployment and ongoing operations.
• Production experience with Google Cloud Platform, dbt, and workflow orchestration tools such as Airflow, Dagster, Prefect, or Temporal.
• 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 incremental loading.
• Experience with event-driven systems, messaging or task queues, asynchronous processing, and failure recovery.
• Experience with data contracts, raw and curated storage, retention policies, automated testing, and data quality monitoring.
• Startup or small-team experience is valuable. Web scraping, entity resolution, data enrichment, and LLM-based extraction are also useful.

Benefits

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

Company Description

Remote, based in Latin America.