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ARKA Group, LP · 3 months ago

Staff Data Engineer (TS/SCI with Full Scope Poly) {S}

King of Prussia, PA

Full-time

Onsite

Senior Level, Lead/Staff

6+ years exp

ARKA Group L.P. is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry. They are seeking a Staff Data Engineer/Scientist to support the development of AI/ML algorithms across various disciplines, while collaborating with a team of researchers and software developers.

AerospaceCommunication HardwareHardwareInformation TechnologyManufacturingOptical CommunicationSoftware

No H1B

Security Clearance Required

U.S. Citizen Only

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 algorithms

Using Agile methodologies to develop software

Qualification

Data EngineeringAI/ML AlgorithmsPythonData PipelinesCloud ServicesAgile MethodologiesTeam CollaborationProblem Solving

Required

B.S. in data science, AI/ML, computer science, or related field

Minimum 6 years of relevant experience as a Data Engineer/Scientist

Experience developing data pipelines and normalizing data with canonical Python packages (e.g. NumPy, Pandas, Polars)

Active TS/SCI U.S. Government Security Clearance with a recent Full-Scope Polygraph (FSP)

Preferred

M.S. or PhD in data science, AI/ML, computer science, or related field

Experience with Gitlab, DevSecOps utilizing test-driven development, containers, (e.g. Docker, Docker Compose), cloud services (e.g. AWS), tools for distributed computing (e.g. Spark, Pyspark)