Honovee

Data Engineer

Job description

Job Description

Honovee is looking for a Data Engineer in Fort Eisenhower, GA. If you’re looking for an opportunity to grow, make an impact, and be challenged, then look no further.

Responsibilities:

  • Develop training material, assist with training material validation, implement training material as certified classroom instruction, and maintain training material to support Signal School courses.
  • Develop data science, zero-trust cybersecurity methodologies, and development-related training support packages through lesson plans, presentations, and practical exercises to support courses, IAW ADDIE process (TP 350-70-1).
  • Write lesson plans for training support material.
  • Produce associated media (e.g., presentations, videos, and other training support material)
  • Assist with training support material validation and associated test/evaluations.
  • Provide Instructor notes/preparation. (e.g., Instructor notes for training support material)
  • Align training material with course design and learning outcomes as specified in Program of Instruction (POI), course map, and associated Terminal Learning Objectives (TLO) for each course.
  • Participate in validating learning products and material to help Training Developers determine if products meet intended learning outcome efficiently and effectively.
  • Conduct up to three iterations of individual or group validation trials, depending on nature of learning product.
  • Identify learning product deficiencies.
  • Make recommendations and adjustments to enhance quality and relevancy of learning products and material.
  • Develop assessments (labs, quizzes, and tests) to evaluate student’s ability to understand training material and perform associated tasks IAW intended learning outcome.
  • Maintain and update data science, zero-trust cybersecurity methodologies, and development-related training support packages in form of lesson plans, presentations, and practical exercises to support courses as required by industry developments and updates in best business practices.
  • Provide feedback in development and creation of training materials and lessons required to teach approved tasks, conditions, and standards for Military Occupational Specialties.
  • Use training material from academic agreements with Cisco, Microsoft, and AWS when applicable, permissible, and specified in course design outline.
  • Implement classroom instruction IAW ADDIE process outlined in TP 350-70-1.
  • Instruct/execute training IAW projected training schedule.
  • Distribute training material and record results via designated Learning Management System (LMS) [e.g., Blackboard, MS Teams].
  • Train and educate students IAW lesson plan’s specified TLOs and intended learning outcomes.
  • Administer tests and student assessments.
  • Instruct various field-related courses and evaluate student performances using TRADOC-approved Instructional methodology.
  • Provide educational materials to include syllabi, homework, labs, quizzes, and exams to support classroom instruction.
  • Project and schedule training modules with course managers a minimum of 90 days before class begins training IAW course’s designated course map.
  • Coordinate for use of any non-standard Government-owned equipment or anything not provided in standard classroom needed to complete students’ exercises or labs NLT 7 working days prior to start date of training.
  • Regularly check with Course Manager(s) and scheduler to de-conflict weekly training schedule for classroom/lab utilization.
  • Actively participate in Quality Assurance Assessments as applicable; deliver training IAW prescribed POI, lesson plans, course map, and associated TLOs for course being assessed.
  • Present lesson plans IAW approved POI for each course supported.
  • Maintain classroom equipment, training resources, and classroom security requirements and procedures as prescribed in TRADOC, Installation, and/or local policies and procedures; report all equipment issues as soon as identified.
  • Conduct exams, administer/enforce test control procedures, and enforce discipline, safety, and physical security measures; actively participate in student AARs.
  • Record all tests, assessments, and student evaluations in associated LMS; report academic concerns to Course Manager, SGL, ACE, and/or Chain of Command as warranted, maintaining good order and discipline in training environment.

Qualifications:

  • Must be a U.S. Citizen. No Visas accepted.
  • Must possess a Master’s in Science (M.S.) Degree in Science, Technology, Engineering, and Mathematics (STEM) from a formal higher education institution; a B.S. degree in STEM will be accepted with additional years of experience and certifications.
  • Must possess a Common Faculty Developer-Instructor Course (CFD-IC) certification that is less than 5 years old or be able to obtain within 90 days of hire.
  • Must possess 5+ years’ operational experience conducting data management
  • Must possess at least 1 of the following certifications: Big Data Science Certified Professional (BDSCP) from Arcitura, AWS Certified Machine Learning-Specialty, MS Azure Data Scientist Associate, and/or CompTIA Data+.

Years of Experience: 3+ years operational experience conducting data analysis (with M.S.); 5+ years operational experience conducting data analysis (with B.S.)

Education/Certifications: M.S. Degree in STEM OR B.S. Degree in STEM (w/ additional exp.); Relevant AWS, Microsoft, or CompTIA Data Certifications (Associate+)

Job Type: Full-time

Benefits:

  • 401(k) matching
  • Dental insurance
  • Employee assistance program
  • Health insurance
  • Paid time off
  • Tuition reimbursement
  • Vision insurance

Education:

  • Bachelor's (Preferred)

License/Certification:

  • Microsoft Certified: Azure Data Engineer Associate (Preferred)
  • AWS Certified Big Data – Specialty (Preferred)
  • CompTIA Data+ (Preferred)

Security clearance:

  • U.S. Department of Defense - Secret (Required)

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