Senior Data Engineer
Company shown to members 🔒 · Remote · Location not stated
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First recorded by Psst: 6 November 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- Senior
- Where you can live
- Location not stated
- Skills and tools
- sql, python, retention
- Job type
- Full-time
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Job details
- Where you can work
- Location not stated
- Employment type
- Full-time
- Advertised pay
- $100K–140K/yr
- Experience
- Senior
- Employer publication date
- 5 November 2026
- First recorded by Psst
- 6 November 2026
- Last checked at the source
- 10 November 2026
About the job
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 to production operations, enabling trusted data for downstream products.
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 limits and robust failure handling.
- Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect.
- 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 data with dbt into raw, standardized, and curated layers.
- Implement idempotent upserts, data contracts, 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, integrating multiple sources from architecture through deployment and ongoing operations.
- Production experience with workflow orchestration, including dependencies, retries, and failure recovery; Airflow experience 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.
- Strong SQL and PostgreSQL skills, including data modeling, query optimization, and incremental loading.
- Experience with event-driven systems, messaging or task queues, and asynchronous failure recovery.
- Experience with data contracts, raw and curated storage, retention policies, automated validation, pipeline testing, and monitoring.
- Experience building platforms or substantial pipelines from scratch is valuable. Web scraping, entity resolution, LLM-based extraction, BigQuery, and Dataform experience are also useful.
COMPENSATION & BENEFITS
Base salary: $100,000 to $140,000 USD annually. Visa sponsorship is not available.
LOCATION
Remote within Europe, including the United Kingdom, Norway, Switzerland, Iceland, Liechtenstein, and Ukraine.
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