# Senior Data Engineer at Clera

Senior Data Engineer at Clera in remote. Remote, full-time, paying $120k–$160k. Posted October 29, 2026.

- Company: Clera
- Location: remote
- Workplace: Remote
- Job type: Full-time
- Pay: $120k–$160k
- Posted: 2026-10-29
- Apply: https://jobs.ashbyhq.com/clera/0ebc1c1c-7ff8-4abf-b349-fd5d32878584/application
- Source: https://jobmagic.ai/jobs/senior-data-engineer-clera-p0gn36

## Requirements

- At least 5 years building and operating production data platforms, with ownership from architecture through ongoing operations; 8 or more years is a plus.
- Production experience with workflow orchestration such as Airflow, Dagster, Prefect, or Temporal, including dependencies, retries, and failure recovery. Airflow is preferred.
- Hands-on production experience with dbt and Google Cloud Platform.
- Strong Python skills, including asynchronous HTTP and concurrent processing with asyncio, aiohttp, or HTTPX, plus strong SQL and PostgreSQL skills.
- Experience with messaging or task queues, data contracts, raw and curated storage, retention policies, automated validation, and monitoring.
- Web scraping experience with tools such as Scrapy, Playwright, Selenium, or Beautiful Soup is valuable, as is experience with entity resolution, data enrichment, or LLM-based extraction.
- Experience building platforms from scratch or working with broad ownership in an early-stage team is a plus.

## Description

### About the Role

Join a data 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 ingestion architecture to production operations, supporting data products with trusted records.

### What You'll Do

- Design and build a multi-source 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 using tools such as Airflow, Dagster, or Prefect.

- Build queue-based event systems with retries, dead-letter handling, and controlled replay.

- Preserve original data in cloud storage and transform it with dbt into raw, standardized, and curated layers.

- Implement idempotent loading, data contracts, validation, pipeline tests, freshness monitoring, and failure alerts.

- Design and optimize PostgreSQL schemas and loading patterns, and integrate enrichment and LLM-based structured extraction.

### What We're Looking For

- At least 5 years building and operating production data platforms, with ownership from architecture through ongoing operations; 8 or more years is a plus.

- Production experience with workflow orchestration such as Airflow, Dagster, Prefect, or Temporal, including dependencies, retries, and failure recovery. Airflow is preferred.

- Hands-on production experience with dbt and Google Cloud Platform.

- Strong Python skills, including asynchronous HTTP and concurrent processing with asyncio, aiohttp, or HTTPX, plus strong SQL and PostgreSQL skills.

- Experience with messaging or task queues, data contracts, raw and curated storage, retention policies, automated validation, and monitoring.

- Web scraping experience with tools such as Scrapy, Playwright, Selenium, or Beautiful Soup is valuable, as is experience with entity resolution, data enrichment, or LLM-based extraction.

- Experience building platforms from scratch or working with broad ownership in an early-stage team is a plus.

### Compensation & Benefits

Base salary: $120,000 to $160,000 USD annually. Visa sponsorship is not available.

### Location

Remote within the United States. New York-based candidates are welcome, but New York residency is not required.