3 data pipeline engineer jobs at 3 companies in Advance, NC

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Managed Services - Senior Data Engineer - Senior Manager
Phoenix or Indianapolis or Grand Rapids or Raleigh or Charlotte or Jacksonville or Cincinnati or Cleveland or Columbia or Kansas City or Columbus or Dallas or Las Vegas or Little Rock or Baltimore or Richmond or Louisville or Rochester or Sacramento or Birmingham or St. Louis or Salt Lake City or San Antonio or Spartanburg or Albany or Tampa or Toledo or Atlanta or Tulsa or Austin or Miami or Milwaukee or Minneapolis or Denver or Des Moines or Montpelier or Detroit or Nashville or New Orleans or Buffalo or Oklahoma City or Fort Worth or Greensboro or Pittsburgh or Houston or Portland
$124k-$280k/yr OnsiteFull Time
PwC
PwC: Providing audit, tax, and management consulting services to businesses.
6+ YOEBachelor's degree and 6+ years' experience; advanced data architecture and pipeline management; proficiency with Python, Java, AWS/Redshift, DataStage, ETL, SQL Server, DB2, QlikView/Oracle BI; stakeholder engagement and team leadership.
AWS, Redshift, DataStage, ETL, SQL Server, DB2, Python, Java, QlikView, Oracle BI
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Software Engineer- Greensboro, NC
Greensboro, North Carolina, United States
OnsiteFull Time
Stake Center Locating
Stake Center Locating: Identifies and marks underground utility lines for excavation safety.
Design, develop, and support full-stack business applications, integrations, and data pipelines; experience with REST APIs, Microsoft Azure, SQL Server, and modern web frameworks.
C#, Java, Python, SQL Server, React, Angular, Blazor, REST API, Microsoft Azure, Azure Functions, Logic Apps, Power Automate, Azure Data Factory, Synapse Analytics, Microsoft Fabric, Power BI, Power Platform, Data Lake Storage, Visual Studio Code, Postman, Git, Claude Code/Codex
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Financial Digitalization Analyst
Greensboro, North Carolina, United States
$64k-$90k/yr OnsiteFull Time
Volvo Group
Volvo GroupNasdaq Stockholm: VOLV B: Produces heavy vehicles, construction machinery, and industrial engine systems.
Bachelor’s degree preferred in data, computer science, engineering, finance, economics, or statistics; relevant data, BI, or automation experience; SQL, data modeling, Power BI or Tableau, modern data platforms, pipelines, and Python or low-code automation.
SQL, Power BI, Tableau, Databricks, Snowflake, Python, Power Automate, Power Platform