Reston, Virginia, USA
3 days ago
Data Scientist
Overview Arcfield is a leading provider of full lifecycle, mission-focused systems engineering and integration capabilities to the U.S. government and its allies. The company has more than 60 years of proven experience providing advanced engineering and analysis, IT and C5ISR capabilities to support our nation’s most critical national security missions. Headquartered in Chantilly, VA and with 16 offices around the world, Arcfield employs approximately 1,200 engineers, analysts, IT specialists, and other professionals who put our customers’ missions first, helping them solve their most complex challenges through innovations in modeling, simulation and analysis, digital transformation and C5ISR. Visit arcfield.com for more details. Responsibilities The Data Engineer will support the Sponsor’s organization with leveraging best practices to implement means to efficiently create, organize, process, store, and utilize data collected from multiple sources. Responsibilities include, but are not limited to: Provide technical expertise in the use of various data applications, tools, and services Evaluate and recommend available data management tools, services, and products to support validated user and/or system requirements Refining (and potential re-defining) existing ETL (extract, transform, load) processes Define file organizations, indexing methods, and security procedures for specific user applications Plan and coordinate security measures-data integrity, backup systems, and database security Qualifications Must possess and be able to maintain a TS/SCI clearance with polygraph A degree (or equivalent experience) in Computer Science, Information Systems, Engineering, Business, or a scientific or technical discipline  BS 10-12, MS 8-10, PhD 5-7 Analytical and conceptual skills; ability to create original concepts/theories for various projects  Technology Design — Adapting equipment and technology to serve user needs  Ability to convert customer or product requirements logically and systematically into total systems solutions that acknowledge technical needs, schedules, and cost constraints  Ability to analyze and study complex system requirements, for example: Perform functional analysis, timeline analysis, cost estimation, trade studies, requirements allocation and interface definition studies to translate customer requirements into hardware and software specifications  Apply the concept of operations set of disciplines for the planning, analysis, design, and construction of information systems across a major sector of the organization  Knowledge of the practical application of engineering science and technology  Experience with activity and data modeling, and ETL development (data processing automation) transaction flow analysis, internal control and risk analysis and modern business methods and performance measurement techniques Experience with Java, Python Experience with Amazon Web Services (AWS) and AWS tool suite that optimizes the managing of data flow Able to implement solutions and critical thinking using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems Experience with successful full life-cycle software development projects Demonstrated knowledge in enterprise data strategy, data governance practices, data stewardship principles, data architecture principles, data standards, and metadata management best practices Desired Qualifications Ability to convey technical information to non-technical individuals  Ability to work in a dynamic and challenging environment  Strong oral and written communications and interpersonal skills  Complex Problem Solving — Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions Experience with Apache NiFi, Machine Learning (ML), Interactive Data Language (IDL) Experience with Sponsor’s OSN Equal Pay Act This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield ’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. Min: $111,273.57 Max: $267,388.72 EEO Statement EEO Arcfield proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active-Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.
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