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The Alaka`ina Foundation Family of Companies (FOCs) is looking for a qualified Sr. Data Engineer to support our government customer located at Kirtland Air Force Base in Albuquerque, NM. This position will be on site.
The primary mission of the Defense Threat Reduction Information Analysis Center (DTRIAC) is to provide timely electronic access to all nuclear weapons test data, legacy and current, to U.S. government programs supporting U.S. nuclear deterrent missions. DTRIAC maintains a repository of over 20,000 films, two million photographs, and 60 million pages of documents dating back to The Manhattan Project. Kāpili Services is charged with making the above hardcopy materials easily accessible to DTRA deterrent mission researchers in a way that provides knowledge and meaning through the use of digitization, Machine Learning (ML), Artificial Intelligence (AI), and data science.
The role of the Sr Data Engineer is to collaborate with data scientists, architects, researchers, users, model and sim engineers, user experience designers, software engineers, digitizers, cataloguers, and system administrators to build a system to collect, manage, and convert raw data from the DTRIAC archive into usable information for U.S. deterrent missions.
DESCRIPTION OF RESPONSIBILITIES:
REQUIRED SKILLS & EXPERIENCE:
DESIRED SKILLS AND EXPERIENCE:
REQUIRED CITIZENSHIP AND CLEARANCE:
The Alaka`ina Foundation Family of Companies (FOCs) is a fast-growing government service provider. Employees enjoy competitive salaries. Eligible employees enjoy a 401K plan with company match; medical, dental, disability, and life insurance coverage; tuition reimbursement; paid time off; and 11 paid holidays.
We are an Equal Opportunity/Affirmative Action Employer. We are proud to state that we do not discriminate in employment decisions on the basis of race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. If you are a person with a disability and you need an accommodation during the application process, please click here to request accommodation. We E-Verify all employees.
The Alaka`ina Foundation Family of Companies (FOCs) is comprised of industry-recognized government service firms designated as Native Hawaiian Organization (NHO)-owned and 8(a) certified businesses. The Family of Companies (FOCs) includes Ke`aki Technologies, Laulima Government Solutions, Kūpono Government Services, and Kapili Services, Po`okela Solutions, Kīkaha Solutions, LLC, and Pololei Solutions, LLC. Alaka`ina Foundation activities principally benefit the youth of Hawaii through charitable efforts which includes providing innovative educational programs that combine leadership, science & technology, and environmental stewardship.
For additional information, please visit www.alakainafoundation.com
#ClearanceJobs
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Full Time
$95k-121k (estimate)
02/25/2024
05/20/2024
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Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
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The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
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Create architecture for real-time, big data applications with minimal maintenance effort.
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Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
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Provides successful deployment and provisioning of data solutions to production or other required environments.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
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Earn a bachelor’s degree related to data engineering and begin working on projects.
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Consider pursuing additional professional engineering or big data certifications.
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Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
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Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
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Step 3: View the best colleges and universities for Senior Data Engineer.