5 field implementation engineer jobs at 5 companies in Wilson, NC
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Sr. Implementation Engineer
Raleigh, North Carolina, United States
$80k-$110k/yrFieldFull Time
BaxterNew York Stock Exchange: BAX: Develops and manufactures medical devices, pharmaceuticals, and IV solutions.
3+ YOEBachelor's in engineering/computer science or 3+ years server/network engineering experience, ~50% travel, expertise with Microsoft Windows, SQL, IIS, TCP/IP and network security, familiarity with Wireshark/PuTTY/CLI, ability to lift 50 lbs and hold a valid driver’s license.
Microsoft Windows, SQL, IIS, Wireshark, PuTTY, CLI, Active Directory, Linux
VAST Data: Enterprise AI infrastructure and unified data platform.
5+ YOE5+ years in technical roles with data storage expertise (SAN/NAS/DAS/cloud), experience designing and implementing storage solutions, familiarity with VMware and Docker, strong networking, analytical, and customer-facing skills.
Coralville or Boulder or Raleigh or Madison or San Diego or Fargo
$114k-$130k/yrOnsiteFull Time
DanaherNYSE: DHR: Develops scientific instruments and diagnostic tools for healthcare markets.
5+ YOE5+ MgmtBachelor’s degree in Environmental Science, Occupational Health & Safety, Engineering, or related field; 5+ years EHS leadership in manufacturing; experience implementing standard work; global regulatory knowledge.
Rocky Mount Preparatory School: A public charter school providing K-12 academic education.
Bachelor's in Computer Science/Computer Engineering/related CTE field and state teaching certification required; BLS not mentioned. Create lesson plans per NC Computer Science Standards; implement instruction; monitor and evaluate student progress.
Senior Delivery Consultant - Data , Professional Services, AWSI HCLS
San Francisco or Denver or Chicago or Boston or Raleigh or Jersey City or New York or Arlington or Seattle
$154k-$208k/yrFieldFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOE5+ years cloud architecture and data engineering experience, Bachelor's degree (or 7+ years experience), hands-on implementation of production data pipelines and modern data platforms, experience with ontologies/knowledge graphs and regulated HCLS environments.