Data Engineer Mid with Security Clearance

The Date Engineer (Mid) designs, implements, and operates data management systems for intelligence needs; designs algorithms databases, and pipelines to access, and optimize data retrieval, storage, use, integration and management by different data regimes and digital systems; works with data users to determine, create, and populate optimal data architectures, structures, and systems; and plans, designs, and optimizes data throughput and query performance; participates in the selection of backend database technologies (e.g. SQL, NoSQL, HPC, etc.), its configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness. The Data Engineer (Mid) will: * assist and advise the Government with developing constructing and maintaining data architectures.* research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government.* align data architecture, acquisition, and processes with intelligence and analytic requirements.* research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government.* prepare data for predictive and prescriptive modeling deploying analytics programs, machine learning and statistical methods to find hidden patterns, discover tasks and processes which can be automated and make recommendations to streamline data processes and visualizations.* design, implement, and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. * support the Government in its exposure to cutting edge Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute, and manipulate data to draw conclusions and make predictions. * Contractor personnel shall assist and advise the Government with developing constructing and maintaining data architectures.* Contractor shall research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government.* Contractor shall align data architecture, acquisition, and processes with intelligence and analytic requirements.* Contractor shall research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government.* Contractor shall prepare data for predictive and prescriptive modeling deploying analytics programs, machine learning and statistical methods to find hidden patterns, discover tasks and processes which can be automated and make recommendations to streamline data processes and visualizations.* Contractor shall design, implement, and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. The Contractor will support the Government in its exposure to cutting edge Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute, and manipulate data to draw conclusions and make predictions.REQUIRED QUALIFICATIONS AND EXPERIENCE: Clearance Required: TS/SI (polygraph eligible) Requirements: * have at a minimum a bachelor''s degree and at least 8 years'' of demonstrated experience in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science or Data Engineering from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, and/or software engineering. Experience in more than one area is highly desired.* shall demonstrate at least eight (8) years of experience working with AWS big data technologies (Redshift, S3, EMR, and demonstrate experience in distributed data processing, Data Modeling, ETL Development, and Data Warehousing.* shall demonstrate at least eight (8) years of experience working with software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.* shall be able to communicate with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.Ability to perform essential job functions while complying with all state, federal or local COVID mandates with or without reasonable accommodation. Afognak Native Corporation, Afognak Commercial Group LLC, Alutiiq LLC and their subsidiaries are equal opportunity employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, citizenship, disability, protected veteran status or any other characteristic protected by applicable federal, state or local laws.

Created: 2025-11-01