3 data migration engineer jobs at 3 companies in Logan, OH

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SCADA Migration & Integration Lead
Chicago or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or New York City or Cleveland or Oklahoma City or Austin or Albany or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or Morristown or San Francisco or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$87k-$266k/yr OnsiteFull Time
Accenture
AccentureNYSE: ACN: Global provider of management consulting and technology services.
5+ YOERequires 5+ years of CygNet expertise, 2+ years integrating PI/AVEVA data and leading live cutovers, plus a bachelor's degree or equivalent experience. Ignition, Kafka, .NET, Python/Jython, SQL, and industrial security are valued.
CygNet, Ignition, REST, API, Kafka, .NET, AVEVA, Python, Jython, Wonderware, Galaxy, SQL, AutoSol, FlowCal, IEC 62443, NIST 800-82
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Data Engineer, Senior (Oracle ERP)
Columbus, Ohio, United States
OnsiteFull Time
NetJets
NetJets: Provider of fractional aircraft ownership and private jet services.
4+ YOEBachelor's degree in Computer Science or Information Technology and 4–6 years of experience. Requires Oracle Fusion ERP, FBDI, ADFdi, HDL, REST, data migration, Agile, and CI/CD experience.
Oracle Fusion Cloud ERP, FBDI, ADFdi, HDL, REST, CI/CD, Agile
1w
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IT Specialist (DATAMGT)
Birmingham or Washington or Hyattsville or Kansas City or Philadelphia or Austin or Parkersburg
$106k-$158k/yr HybridFull Time
Bureau of the Fiscal Service
Bureau of the Fiscal Service: Manages federal government accounting, payments, and public debt.
1+ YOEExperience leading enterprise data engineering and cloud migration, building ETL pipelines with Python and Spark, establishing data architecture standards, and advising on data quality, metadata, and platform strategy.
Python, Spark, SQL, NoSQL, Databricks, AWS, Azure, APIs