Senior Data Platform Engineer — Remote (LatAm)

Clera Labs, Inc.; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

Clera Labs, Inc. is seeking a senior Data Platform Engineer to own a multi-source data platform from ingestion to production. You will design, implement, and operate end-to-end pipelines, focusing on reliability, correctness, and scalability across APIs, webhooks, files, and web scraping.

Emphasis on dbt, PostgreSQL, and cloud-native orchestration with Airflow, Dagster, or Prefect. You will work remotely with a distributed team and leverage modern tooling to maintain data quality, lineage, and

Qualifications

• Own data platform end-to-end from ingestion to production.
• Experience with multi-source ingestion and orchestration.
• Strong Python with async processing.
• Strong SQL and PostgreSQL data modeling.
• Experience with dbt and GCP.
• Experience with event-driven systems and messaging.

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.

Skills

Python

Async I/O

SQL

PostgreSQL

Data modeling

Pipelines

Workflow orchestration

Airflow

Dagster

Prefect

Temporal

LLM-based extraction

Tools

dbt

Google Cloud Platform

Airflow

Dagster

Prefect

Temporal

aiohttp

HTTPX

Job description

Clera Labs, Inc. is seeking a senior Data Platform Engineer to own a multi-source data platform from ingestion to production. You will design, implement, and operate end-to-end pipelines, focusing on reliability, correctness, and scalability across APIs, webhooks, files, and web scraping.

Emphasis on dbt, PostgreSQL, and cloud-native orchestration with Airflow, Dagster, or Prefect. You will work remotely with a distributed team and leverage modern tooling to maintain data quality, lineage, and