Data Science Analyst/Engineer - teKnoluxion

Location: Springfield, VA

Security Clearance Required:  Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly is required upon application for initial consideration **This position is not open for any clearance upgrades or sponsorship.**

teKnoluxion provides the Defense and Intelligence Communities technical experts in the fields of Software & Systems Engineering, Enterprise Operations, and Cloud Services Management & Consulting.  Our goal is not to simply support efforts, but to ignite a technology revolution, bridging the growing technology gap between the Government and commercial space. 

Are you ready to test your abilities as a Data Science Analyst/Engineer and team member in a sophisticated enterprise exploitation environment?  Would you like to make an immediate and direct impact in your job? Join a dedicated team supporting the Yorktown contract at NGA.

What you get to do every day:

• Work with the Data Engineering Team responsible for building the Metadata Application Profile (MAP) that aligns  attributes from various Data Stores into a Search & Retrieval System,  enabling discovery of imagery and data for analysis.

• This position focuses on metadata maintenance activities for the integration of metadata between systems and the associated API to enable discovery of data across the Enterprise and the Intelligence Community.
• Work closely with the Lead Data Science Librarian to build and maintain the MAP, assess metadata quality, plan and coordinate metadata enhancement and remediation.
• Determine/monitor MAP accuracy by conducting queries against data holdings in native systems and using the System User Interface (UI), API, and Solr UI.
• Support Systems Engineers and Software Developers by creating design documents for new Data Stores which identify the metadata fields, service specifications, volumetrics and standards needed to integrate into the Search and Discovery System.
• Maintain an ongoing working relationship with government data stewards and system Data Store owners to inform end-user satisfaction and to keep abreast of attribute changes.
• Investigate and respond to tickets/issues associated with metadata discrepancies or mapping.

Security Clearance Required:  Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly is required upon application for initial consideration **This position is not open for any clearance upgrades or sponsorship.**

Education/Experience:

• Requires Bachelor's degree in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology,  Business, Management Information Systems, or related STEM degree program, or an additional 4 years of related data/systems engineering experience.
• 6 Years of Data/Systems engineering experience

Required Skills:

• Excellent communication, analytical, problem solving, and organizational skills with the ability to present information and ideas clearly and concisely.
• Strong technical skills, interest in technology, and the ability to troubleshoot simple technology problems, failures, or deficiencies.
• Excellent skills with Microsoft office tools (Excel, PowerPoint, Notepad++)
• Preferred Certifications: Security +, Network+, A+ is preferred. Ability to obtain one of these certifications within 6 months of start date if not currently in hand.

• Intelligence Community Experience preferred

• Recognizing great achievements do not go unnoticed by teKnoluxion through service anniversaries, spot awards, and employee referral bonuses
• You’ll join a growing organization of passionate, top-shelf, IT engineering professionals with extensive experience in actively developing the technology revolution in the Intelligence community
• Highlights of our benefits include Health/Dental/Vision, 401(k) match and potential Profit Sharing, Universal Leave, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more!
• Compensation is unique to each candidate and compensation packages are based on education, experience, and other requirements.