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    Senior Data Engineer

    CleraRemotePosted 2026-10-29
    This listing's locations
    Remote
    Employment
    Full-time
    Workplace
    Remote
    Compensation
    USD 120000–160000 per year
    Department: Engineering

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    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.