4 dataops engineer jobs at 4 companies in Nooksack, WA
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Senior Data Engineer - Data Governance & DataOps
Langley, British Columbia, Canada
$108k-$136k/yrOnsiteFull Time
Pattison Food Group: Operates grocery retail chains and food distribution services.
7+ YOEBachelor's or Master's in CS/Engineering (or equivalent), 7+ years data/analytics engineering experience with Databricks/Delta Lake, strong SQL/Python/PySpark, Databricks Jobs/Workflows, data governance (Microsoft Purview/Unity Catalog), and data quality frameworks.
Databricks, Delta Lake, Microsoft Power BI, Informatica, SQL, Python, PySpark, Databricks Jobs, Databricks Workflows, Microsoft Purview, Unity Catalog, Great Expectations, Databricks Expectations, Deequ, Airflow, Azure Data Factory (ADF), Fabric Data Factory
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.
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
Bachelor's in CS or related plus experience in data/software/ML engineering, strong SQL/NoSQL, production-grade coding, data modeling, CI/CD, dataops/mlops, and collaboration skills.
SQL, NoSQL, CI/CD, Machine Learning (ML), Big Data Analytics
Principal Software Engineer - Data and AI Platforms
Vancouver, British Columbia, Canada
$197k-$258k/yrHybridFull Time
lululemonNASDAQ: LULU: Designs and retails technical athletic apparel and lifestyle products.
11+ YOE11+ years engineering experience in large-scale data platforms, enterprise data lake architecture, pipeline orchestration, DataOps, and system design. Strong coding, architecture, and cross-functional leadership skills required.