Na 'Oiwi Kane

Na 'Oiwi Kane

Senior Data Engineer

Maryland, USA · Senior · Contract

No sponsorship$135k-$150kDetected 125 days ago
Data AnalysisData EngineeringExcelLogistics

About the role

  • Overview Vintun LLC is an SBA-certified Small Disadvantaged Business established under the Native Hawaiian Organization-Owned (NHO) program.
  • As a professional services firm specializing in consulting and advisory services, Vintun is committed to improving operational efficiency and achieving organizational objectives for its clients.
  • We serve as a leading provider for information services and business management solutions to the Federal Government, delivering impactful solutions that yield lasting results.

Responsibilities

  • Determine the appropriate update frequency needed to create actionable products.
  • Support data collection, integration, filtering, and analysis from multiple NAVAIR and DoD sustainment related systems.
  • Develop and maintain an effective data warehouse for various T/M/S aircraft data.
  • Vintun is headquartered in Stafford, VA with client support offices in San Diego and Hawaii.

Requirements

  • 15+ years of experience providing data analytics and management support in a business environment.
  • Demonstrated expertise in data engineering, including ETL processes and automating data flows.
  • Extensive experience with DoD/NAVAIR readiness, logistics, and sustainment data systems (e.g., DECKPLATE, Vector, RAMP, IPSMS, AMSRR).
  • Knowledge of data management and visualization products.
  • Proficiency with MS Excel and MS Access.
  • Proven ability to work on high-visibility, mission-critical programs.

Nice to have

  • Bachelor's Degree in technical or business-related field
  • Data Management/Science preferred.

Compensation

  • Posted Salary Range USD $135,000.00 - USD $150,000.00 /Yr.

Benefits

  • Vintun offers a highly competitive benefits package that reflects our objective of employing top industry performers.

This listing is sourced directly from Na 'Oiwi Kane's careers page and normalized into a canonical job model.