5 platform data engineer jobs at 4 companies in Anacortes, WA
3w
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Senior Data Platform Engineer / SDE
Boise or Salt Lake City or Renton or Medford or Portland or Lewiston or Spokane or Burlington or Fargo or Vancouver
$101k-$186k/yr HybridFull Time
6+ YOE6+ years in data engineering/platform engineering, strong Snowflake, dbt, SQL and Python skills, ELT/ETL and orchestration (Airflow), technical leadership and mentoring experience.
Snowflake, dbt, SQL, Python, Airflow, CI/CD
2w
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Data Engineer, Consultant
Oakland or Washington or Rhode Island or Ohio or Missouri or California or Long Beach or Arizona or Colorado or Florida or Georgia or Maryland or Minnesota or Nevada or Oregon or El Dorado Hills or Lodi or Rancho Cordova or San Diego or Alabama or Illinois or Virginia or Wisconsin or Texas or New York
$139k-$208k/yr HybridFull Time
7+ YOEBachelor's or equivalent, 7+ years data engineering, advanced SQL, Azure and cloud data platform experience, Snowflake/Databricks, CI/CD and DataOps, strong data modeling and security knowledge.
SQL, Azure, ADLS, Synapse, Data Factory, Snowflake, Databricks, Airflow, Tidal, CI/CD, Epic
3w
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Lead, Data Development, AI Platform
Vancouver or Victoria or Edmonton or Calgary or Ottawa or Toronto or Waterloo
$98k-$138k/yr RemoteFull Time
8+ YOE8+ years in software/data/AI platform engineering, technical leadership, orchestration and data pipeline experience, AI/LLM familiarity, observability and production reliability, strong communication and influence.
MCP, LLM, APIs
1mo
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Director, AI, Analytics & Engineering
Everett, Washington, United States
HybridFull Time
15+ YOE15+ years leadership in AI, data engineering, analytics and platform delivery; proven track record scaling AI to production; experience with data platforms, governance, intake/prioritization models, and financial/portfolio management.
1mo
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Director, AI, Analytics & Engineering
Everett, Washington, United States
$160k-$298k/yr HybridFull Time
15+ YOE15+ Mgmt15+ years leading AI, data engineering, analytics and platform delivery; proven experience scaling AI to production, establishing AI governance, portfolio/financial management, and executive communication.