Senior Data Engineer

The role

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

What you will 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 using Airflow, Dagster, Prefect, or similar tools.
• Build event-driven systems with messaging or task queues, including retries, dead-letter queues, and controlled replay.
• Preserve original payloads in Google Cloud Storage and transform them with dbt into raw, standardized, and curated layers.
• Implement idempotent upserts and safe retries to prevent duplicate records and data corruption.
• Define 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.

Required qualifications

• At least 5 years building and operating production data platforms across multiple sources, from architecture through ongoing operations.
• Production experience with workflow orchestration, including dependencies, retries, and failure recovery.
• Hands-on production experience with dbt and Google Cloud Platform.
• Strong Python skills, including asynchronous HTTP and concurrent processing with asyncio, aiohttp, HTTPX, or similar tools.
• 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 recovery from failures.
• Experience implementing data contracts, raw and curated storage, retention policies, automated validation, pipeline tests, and monitoring.

Nice to have

• Airflow is preferred
• Web scraping, entity resolution, data enrichment, BigQuery, or Dataform experience is helpful
• building platforms from scratch in a small team

Before you apply

• Visa sponsorship is not available

About the company

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