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GliaCell Technologies Data Analytics Engineer in Laurel, Maryland

Are you a Data Analytics Engineer who is ready for a new challenge that will launch your career to the next level?

  • Tired of being treated like a company drone?

  • Tired of promised adventures during the hiring phase, then being dropped off on a remote contract and never seen or heard from the mothership again?

  • Our engineers were certainly tired of the same.  

    At GliaCell our slogan is “We make It happen”.

  • We will immerse you in the latest technologies.

  • We will develop and support your own personalized training program to continue your individual growth. 

  • We will provide you with work that matters with our mission-focused customers, and surround you with a family of brilliant engineers. 

    Culture isn’t something you need to talk about…if it just exists. 

    If this sounds interesting to you, then we’d like to have a discussion regarding your next adventure! If you want to be a drone, this isn’t the place for you.

    We Make It Happen!

    GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks.

    GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.

    We Offer:

  • Long term job security

  • Competitive salaries & bonus opportunities

  • Challenging work you are passionate about

  • Ability to work with some amazingly talented people

    Job Description:

    GliaCell is seeking a Data Analytics Engineer  on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract.

    Position Description:

  • You will be supporting ATPG-SI performing as a CNO analyst leveraging Python and Data Science skills executing on a broad range of mission critical tasks touching every aspect of the development life cycle for new CNO tools or plugins.

  • You will be conducting research to identify opportunities, conduct vulnerability research and working closely with other analysts and software engineers to creatively design and implement new Python-based automations and conducting analysis of large data-sets to provide mission-centric insights. 

    Responsibilities: 

  • Conduct vulnerability analysis.

  • Develop and document tradecraft.

  • Generate insights conducting analysis on large data-sets.

  • Design, develop and maintain automated workflows.

  • Build scripts to convert and normalize data.

  • Execute on customer requests.

  • Perform customer outreach.

    Key Requirements:

    To be considered for this position you must have the following:

  • Possess an active or rein-statable TS/SCI with Polygraph security clearance.

  • U.S. Citizenship.

  • The candidate shall 3 or more years of experience and a B.S. degree in a technical discipline, or 4 additional years in place of a B.S.  

  • Other qualifications include:

  • Works well independently as well as on a team. 

  • Strong communication skills. 

    Key Experience:

  • Experience with Python.

  • Experience with Data Science and analysis against large data-sets.

  • Experience with leveraging API’s.

  • Atlassian Tools (Jira, Confluence).

  • Familiarity with Git.

    Desired: 

  • Knowledge of end-to-end SIGINT collection and analysis systems and tools.

  • Experience with open source research.

  • Experience with CNO capabilities and operations.

  • Experience with Elastic & Kibana.

  • Experience writing analytics in PIG.

    Location: Laurel, MD 

    Salary Range: The salary range for this full-time position is $50,000 to $120,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. 

    Benefits:

  • CareFirst Medical, Dental, and Vision Coverage for Employee and Dependents 

  • Up to 25 Days of Paid Time Off

  • Up to 40 hours of PTO Carryover

  • 11 Federal Government Holidays

  • Work From Home Opportunities

  • 401K Company Contribution, Fully Vested Day 1

  • Discretionary, Certification, and Sign-On Bonus Potential 

  • Employee Referral Bonus Program 

  • Annual Professional Development 

  • 100% Premium Covered for Life & Disability Insurances

  • Additional Voluntary Life Insurance Coverage Available 

  • Employee Assistance Program

  • Travel Protection Program

  • Financial Planning Assistance 

  • Bereavement and Jury Duty Leave

  • Monthly Team and Family Events

  • Technology Budget

  • Global Entry

  • Annual Swag Budget

    Learn more about GliaCell Technologies: https://gliacelltechnologies.applytojob.com/apply/

    To apply for this position, respond to this job posting and attach an updated resume for us to review. 

    GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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