5 dataops engineer jobs at 4 companies in Hubbard, 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
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
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Director, Data Engineering & Modeling - Mars Veterinary Health
Vancouver or Los Angeles or Santa Monica or Tampa or New York City
$140k-$219k/yr OnsiteFull Time
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.
DataOps, CI/CD
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Director, Data Engineering & Modeling - Mars Veterinary Health
Vancouver or Los Angeles or Santa Monica or Tampa or New York City
$140k-$241k/yr OnsiteFull Time
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.
DataOps, CI/CD
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Director, Data Engineering & Modeling - Mars Veterinary Health
Vancouver or Santa Monica or Tampa or New York City
$140k-$241k/yr OnsiteFull Time
10+ YOE5+ MgmtRequires 10+ years in data engineering or architecture, 5+ years leading engineering teams, enterprise data product experience, large-scale cloud platform experience, and DataOps and agile delivery experience.
DataOps, CI/CD
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Director of Engineering - Data & AI Platform
Portland or United States
$148k-$281k/yr RemoteFull Time
8+ YOE3+ MgmtBachelor’s degree required; 8–10 years in IT, 3+ years managing IT employees, and experience leading enterprise-scale data, technology, platform, product, or analytics organizations in regulated environments.
CI/CD, infrastructure-as-code, DataOps, MLOps, LLMOps, APIs, lakehouse