Clera

Senior Data Engineer, LATAM

remote. Posted 8 days ago

The role

You will own a data platform end-to-end from architecture and ingestion through production operations. You will design a multi-source data platform for ingestion, processing, and orchestrated workflows.

What you will 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.
  • Orchestrate scheduled workflows and historical backfills using 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.
  • Implement idempotent upserts, data contracts, automated validation, pipeline tests, and monitoring.
  • Design and optimize PostgreSQL schemas and loading patterns.
  • Integrate enrichment and LLM-based structured extraction.

Required qualifications

  • At least 5 years building and operating production data platforms across multiple sources.
  • Hands-on production experience with dbt and Google Cloud Platform.
  • Workflow orchestration using Airflow, Dagster, Prefect, Temporal, or a comparable tool.
  • 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.

Nice to have

  • Airflow is preferred.
  • Web scraping
  • Entity resolution
  • Company and people data enrichment
  • LLM-based extraction
  • Building platforms from scratch in small teams

Before you apply

  • Visa sponsorship is not available.

About the company

clera has a data infrastructure and analytics team building a platform that turns information from multiple sources into reliable, current company intelligence.