# Senior Data Engineer at Clera

Senior Data Engineer at Clera in remote. Remote, full-time, paying $80k–$120k. Posted October 28, 2026.

- Company: Clera
- Location: remote
- Workplace: Remote
- Job type: Full-time
- Pay: $80k–$120k
- Posted: 2026-10-28
- Apply: https://jobs.ashbyhq.com/clera/3eba7655-8dbb-4702-974a-13b17ac94bae/application
- Source: https://jobmagic.ai/jobs/senior-data-engineer-clera-xsg291

## Requirements

- 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.

## Description

### 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.