4 dataops engineer jobs at 4 companies in Warren, OR
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Solutions Engineer - Microsoft Data
Cottonwood Heights or Denver or Phoenix or Portland or Seattle or Spokane or Lewiston or Tigard
OnsiteFull Time
CompuNet: Provides professional IT consulting and managed technology services.
5+ YOERequires 5+ years designing enterprise data solutions, 3+ years with Azure Data Services, advanced SQL and data modeling, Microsoft data platform expertise, consulting skills, and related certifications preferred.
Microsoft Azure Data Services, Microsoft Fabric, Power BI, SQL Server, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, Snowflake, SQL, Python, Spark, DataOps, ETL/ELT, DevOps, Git, CI/CD
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/yrHybridFull Time
Ascendiun: Nonprofit parent overseeing health insurance and clinical service organizations.
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.
Director, Data Engineering & Modeling - Mars Veterinary Health
Vancouver or Los Angeles or Santa Monica or Tampa or New York City
$140k-$219k/yrOnsiteFull Time
Banfield Pet Hospital: Provider of comprehensive preventive veterinary care for pets.
10+ YOE5+ Mgmt10+ years in data engineering or architecture,5+ years leading engineering teams,experience with enterprise data products,cloud data platforms,DataOps and CI/CD practices.
Director, Data Engineering & Modeling - Mars Veterinary Health
Vancouver or Los Angeles or Santa Monica or Tampa or New York City
$140k-$241k/yrOnsiteFull Time
Mars Veterinary Health: Provider of comprehensive global veterinary and pet health services.
10+ YOE5+ Mgmt10+ years in data engineering/architecture,5+ years leading engineering teams,experience with enterprise data products,large-scale cloud data platforms,DataOps and CI/CD practices.