Data Engineer (Security Clearance) {S} at Stratagem Group LLC in aurora, Colorado

Job Description:

ARKA Group L.P. is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space domain. ARKA has a 60-year legacy reaching back to the very beginning of our country's space endeavors. We're a legacy of mission excellence built on ground-breaking technologies. Join the ARKA mission and discover your next career opportunity now!

Position Overview (Summary/Objective):

This position, in either Aurora, CO or Valley Forge, PA, is for a Data Engineer looking for new challenging problems. You will support the development of AI/ML algorithms in a multitude of disciplines from large language models, natural language processing, reinforcement learning, and time-series predictive analytics.. Additionally, we have a team of excellent researchers and software developers who are eager to mentor and teach their craft. We have multiple positions available and welcome all experience levels!

Responsibilities:

• Assembles large, complex sets of data to support AI/ML algorithm implementation
• Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Builds required infrastructure for optimal extraction, transformation and loading of data from various data sources
• Curate and maintain data that is stored in support of metrics and evaluation
• Design, build, test, maintain, and automate data collection/pipelines
• Develop Dashboards for Data Analytics.
• Implement Artificial Intelligence/Machine Learning
• Using Agile methodologies to develop software.

Basic Qualifications:

• Current Top Secret SCI clearance with CI poly
• B.S. in Data Science, AI/ML, Computer Science, or related field
• Minimum six (6) years of relevant experience as a Data Engineer/Scientist.
• Experience developing data pipelines and normalizing data, using AWS cloud services

Preferred Qualifications:

• Full scope poly
• M.S. or PhD in Data Science, AI/ML, Computer Science, or related field
• Experience with Gitlab, DevSecOps utilizing test-driven development, Containers (Docker, Docker Compose)

Pay Range: $130,000 - $190,000

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

The application window will close in 40 days for this position.

Location:

This position is based out of ARKA's nature abundant Aurora, CO campus. Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20-minute drive from downtown Denver and 15-minutes to the Denver International Airport.

What We Offer:

• Comprehensive medical/vision/dental insurance packages
• Company contributions to qualified HSA accounts
• 401k retirement plan with industry leading company contributions
• 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
• 13 paid holidays
• Continuing education benefit up to $25k/year for approved programs
• Annual bonus program based on company and employee performance
• Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
• 4 weeks paid Parental Leave
• Employee assistance program (EAP)

EHS/Environmental Requirements:

While performing the duties of this job, the employee is required to communicate, listen to, and interpret instructions, occasionally operate tools and/or machinery with hands and arms and remain stationary for extended periods of the time. The employee will use protective equipment when working with chemicals, move between workstations, reach, and replace equipment, and move items weighing up to 40 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

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