1mo
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Sr. Engineer, Data - Archimedes
St. Louis or Brentwood or United States or Alaska or Arizona or Arkansas or California or Connecticut or Delaware or Hawaii or Idaho or Louisiana or Maine or Massachusetts or Michigan or Mississippi or Montana or Nebraska or Nevada or New Mexico or New York or North Carolina or North Dakota or Oregon or Rhode Island or South Carolina or South Dakota or Texas or Utah or Vermont or Washington or West Virginia or Wyoming
HybridFull Time
8+ YOEBachelor's in CS or related (Master's preferred); AWS/Azure/CDMP certifications; 8+ years data engineering experience, 5+ years building lakehouse solutions on Azure Databricks; expertise in Spark, PySpark, SQL, Python, DataOps, CI/CD, and cloud data services.
Azure Databricks, Delta Lake, Unity Catalog, Azure Data Lake Storage Gen2, Databricks Workflows, Databricks Asset Bundles, Delta Live Tables (DLT), Synapse Analytics, Azure Data Factory (ADF), Azure Functions, Azure Key Vault, Azure Monitor, Managed Identities, Event Hub, Event Grid, Service Bus, Apache Spark, PySpark, SQL, Python, Azure DevOps, GitHub Actions, Jenkins, AWS Glue, AWS Lambda, Amazon S3, Amazon RDS, Amazon Redshift, Apache Airflow, Git, Terraform, PowerShell, MLflow, Azure Machine Learning, Databricks ML, REST APIs, GraphQL, CloudWatch, ELK Stack
9h
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IT Specialist (Data Engineer)
Birmingham or Little Rock or Mesa or Covina or Oakland or Roseville or Denver or Washington or Jacksonville or Tampa or Atlanta or Des Moines or Chicago or Decatur or Joliet or Indianapolis or Wichita or Louisville or New Orleans or Boston or Baltimore or Detroit or Duluth or Saint Paul or Kansas City or Saint Louis or Billings or Charlotte or Fargo or Omaha or Newark or Albuquerque or Albany or Buffalo or Central Islip or New York or Cincinnati or Cleveland or Portland or Altoona or Harrisburg or Philadelphia or Pittsburgh or Scranton or Nashville or Fort Worth or Houston or Salt Lake City or Richmond or Roanoke or Seattle or Spokane or Milwaukee or Huntington
$91k-$118k/yr OnsiteFull Time
1+ YOEDesign and optimize data pipelines and large-scale data systems; manage on-premises and cloud (AWS, Azure) data infrastructure; DataOps practices; must meet GS-13 specialized experience.
Amazon Web Services (AWS), Azure