3 data infrastructure engineer jobs at 3 companies in Boston, NY

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Principal Marketing Data Ops Engineer II
Bethesda or Getzville or New York City or Beachwood or Indianapolis or Tucson or Tampa or Chicago or Fredericksburg or Melville
HybridFull Time
GEICO
GEICO: Provides vehicle and property insurance services to consumers.
7+ YOE7+ years building data pipelines in Python/Scala, 7+ years SQL with enterprise warehouses, 5+ years ETL/ELT and cloud infrastructure experience (Azure/AWS/GCP); BA/BS preferred.
Python, Scala, SQL, Snowflake, Databricks, Azure, AWS, GCP, Azure Data Factory, Microsoft Dynamics, Statsig, REST API
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Field Service Engineer - Data Center Infrastructure
Buffalo, New York, United States
$40-$42/hr OnsiteFull Time, Temporary
Zones
Zones: Global provider of end-to-end IT solutions and managed services.
5+ YOE5+ years supporting enterprise server hardware in data centers; associate degree or equivalent; hands-on server, storage, rack, and cabling experience; Linux/Windows Server knowledge; strong diagnostics and lifting ability.
Linux, Windows Server, VMware vSphere, Hyper-V, Nutanix
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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
U.S. Railroad Retirement Board
U.S. Railroad Retirement Board: Independent federal agency providing retirement and unemployment benefits for railroad workers.
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