Systems Data Engineer, Senior at KAIROS Inc
Scott AFB, IL 62225, USA -
Full Time


Start Date

Immediate

Expiry Date

26 Jun, 25

Salary

95000.0

Posted On

26 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Technology, Powerpoint, Analytics, Data Analytics, Communication Skills, Working Experience, Customer Service Skills, Excel

Industry

Information Technology/IT

Description

KAIROS, Inc is searching for an energetic, experienced, and highly motivated Systems Data Engineer, Senior, to join our team.
Established in July 2013, KAIROS, Inc. is a growing Woman Owned Small Business (WOSB) providing full life cycle Cybersecurity, Program Management, Engineering, Logistics, Additive Manufacturing, and Training and Education services focused on optimizing customers’ program performance and mission through proven methodologies and ethical practices. Our headquarters is in California, MD near Naval Air Station Patuxent River. We offer competitive salaries and benefits with outstanding growth potential.
This position will be responsible for providing engineering expertise to develop the data and data analytics capabilities of Air Mobility Command (AMC) systems. AMC, in concert with USTRANSCOM and its components and commercial partners, delivers Rapid Global Mobility to all the services, Combatant Commands, National Leadership Authorities, and other priority customers. Relevant systems support command and control of AMC assets, allow management of transportation requirements, provide visibility of asset movements, and integrate both mobility and combat Air Force capabilities across multiple domains.

Primary Duties:

  • Assess technical maturity and analytical rigor of data analytics technologies to recommend their implementation or further development
  • Develop strategic plans for incremental fielding of data analytics capabilities
  • Prototype data analytics and machine learning systems
  • Capture, derive, translate into feasible systems designs, verify, validate requirements for data analytics and machine learning capabilities

Skills and Qualifications:

  • Ability to capture, derive, translate into feasible systems designs, verify, validate requirements for data analytics and machine learning capabilities.
  • Strong customer relations, analytics, documentation skills
  • Self-starter, highly motivated, strong work ethic with a commitment to quality
  • Microsoft office suite proficiency, i.e., Word, Excel, PowerPoint
  • Ability to work within a challenging, fast-paced, team-oriented environment
  • Ability to work independently
  • Ability to multi-task and meet competing, deliverable deadlines
  • Detail oriented
  • Excellent interpersonal and customer service skills
  • Excellent verbal and written communication skills to provide clear status and/or communicate issues
  • Ability to adapt to evolving technology

Education and Experience:

  • Masters degree in engineering or another related field
  • Bachelors degree in engineering or another related field
  • In lieu of degree, experience may be substituted for years of relevant experience
  • At least ten (10) years of related working experience
Responsibilities
  • Assess technical maturity and analytical rigor of data analytics technologies to recommend their implementation or further development
  • Develop strategic plans for incremental fielding of data analytics capabilities
  • Prototype data analytics and machine learning systems
  • Capture, derive, translate into feasible systems designs, verify, validate requirements for data analytics and machine learning capabilitie
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