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Clera

Senior Data Engineer

Clera $120K–$160K/yr

Technology, Information and Internet · 11-50 employees

2 d ago
Remote data-engineer Senior (5-10 yrs) Full-time
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About the role

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

What they look for

Python SQL PostgreSQL Google Cloud Platform Dbt Airflow Data Engineering Data Modeling Event-driven systems Workflow orchestration Asynchronous programming Data pipelines API integration Web scraping Data validation Cloud storage

Requirements

The role requires at least 5 years of experience building and operating production data platforms across multiple sources. Candidates must have strong proficiency in Python, SQL, PostgreSQL, dbt, and Google Cloud Platform.

Full description

About the Role

Join a data infrastructure and analytics team building a platform that turns information from many sources into reliable, current company intelligence. You will own the platform end to end, from architecture and ingestion through production operations.

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 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.

What We're Looking For

  • 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. Airflow is preferred; Dagster, Prefect, Temporal, or comparable tools are relevant.
  • 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.
  • Web scraping, entity resolution, data enrichment, BigQuery, or Dataform experience is helpful, as is building platforms from scratch in a small team.

Compensation & Benefits

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

Location

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

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