Data Profiler (Hybrid) with Security Clearance

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Job description

Description We are looking for a talented Data Profiler to support the research, normalization, schematization, and correlation possibilities of mission critical and mission support data sets. The preferred candidate will have a background in supporting defensive and/or offensive cyber and/or network security related experience, as either a developer, analyst, systems administrator, or engineer. Requirements Essential Job Responsibilities Experience with SIEMs to accomplish their mission(s)/work (E.G. Splunk, Siem Elastic, etc,)
Experience authoring SIEM complex queries and analytics (E.G. SPL, SQL statements, Kibana, Sigma Rules, etc.)
To excel in the position, the candidate shall have a strong attention to detail, be able to understand technical complexities and have the willingness to learn and adapt. The candidate will work both independently and as part of a team to accomplish client objectives. Minimum Qualifications Security Clearance-Current active TS, SCI eligible
Bachelor's in Engineering, Computer Science, technical degree, or industry experience equivalent (+4 years relevant experience can substitute for a BS degree) in addition to the following:
A minimum of 3 years of relevant experience plus a minimum of 6 years in similar data analytical experience. (9 years total)
Technical experience with cyber data analysis to include continuous monitoring, intelligence, and reporting.
Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics.
Must be willing to achieve required skill certification promptly
Place of Performance: either Columbia, MD, Sterling, VA or San Antonio, TX. All positions would involve Hybrid work. Desired Skills (Optional) Experience with the BDP and/or JCC2 applications
CI Poly preferred
Familiarity with various log formats such as JSON, XML, and others.
Prior Experience supporting cyber and/or network security operations within a large enterprise, as either an analyst, engineer, architect, or developer.
A good understanding of the OSI Model and common protocols.
A good understanding of various operating systems, network devices, and cybersecurity devices.
An understanding of data cleansing and profiling
An understanding of data schema, model, and ontology concepts Experience with Jupyter notebooks or similar AI/ML frameworks.
Good communication skills
Experience with Zoom/Teams/Meet style team meetings

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