8 Senior Data Engineer - 3352 Jobs in Tullahoma, TN
National Aerospace Solutions is Hiring a Senior Data Engineer - 3352 Near Tullahoma, TN
Grade: 36-38US Citizenship RequiredThis opportunity is being offered by National Aerospace Solutions, the team selected by the U.S. Air Force to conduct Test and Operations Sustainment at the Arnold Engineering Development Complex (AEDC), Arnold Air Force Base, Tennessee. National Aerospace Solutions is a limited liability company comprised of Bechtel National Inc. (as lead company) and Sierra Lobo Inc. with teaming Subcontractors nLogic Inc. and Chugach Federal Solutions Inc. AEDC operates more than 55 aerodynamic and propulsion wind tunnels, rocket and turbine engine test cells, space environmental chambers, arc heaters, ballistic ranges and other specialized units located in six states. Many of the complex's test units have capabilities unmatched elsewhere in the United States; some are unique in the world. AEDC is one of three installations which are part of the Air Force Test Center (AFTC), one of six subordinate commands of the Air Force Materiel Command organization and an important national resource.
AEDC’s mission is to conduct developmental test and evaluation for the Nation through modeling, simulation, ground, and flight test. Execution of the mission requires a large team of highly qualified and dedicated professionals from multiple technical disciplines to effectively accomplish the objectives of our test customers.
Job SummaryThis job is to develop and apply statistical and modern analytical methods to improve operations and maintenance of the Arnold Engineering Development Complex (AEDC) air and space ground test equipment and facilities. The successful candidate will work as a member of the Digital Enterprise group (DE) in the Mission Support Branch to lead implementation of data-centered projects to improve the AEDC ground test data infrastructure, facility operations, and business systems . The person selected for this role will work closely with multidisciplinary work teams throughout the NAS organization to identify opportunities for leveraging data to drive decisions and will help design and implement a data architecture working with the Digital Enterprise team.
Job Duties
- Development and implement data-engineering strategies and programs.
- Utilize test data sources to optimize data analytics at AEDC and suggest ways which insights obtained might be used to inform testing sustainment and operational strategies.
- Automate manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Utilize machine learning tools to select features, create, and optimize classifiers.
- Define & develop approaches and demonstrate abilities to mine and analyze data from databases to drive optimization and improvement of data collected at AEDC.
- Identify and assess the effectiveness of data engineering, data sources and data gathering techniques.
- Utilize applicable experience in “big data,” analytics, algorithmic, custom data models, algorithms and/or machine learning approaches to help extract data that will help drive engineering decisions.
- Coordinate with different multidisciplinary teams to implement models and monitor outcomes.
- Define & develop processes and tools to monitor and analyze model performance and data accuracy.
- Define & develop the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
- It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
- Identify and complete projects associated to data-engineering.
- Performs other related duties as required.
- B.S. in Computer Science , Statistics, Mathematics, Engineering, or another relevant engineering field from an accredited university program plus a minimum 7 years of progressive and relevant experience.
- Current U.S. Citizenship is required.
- Master’s or PhD degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or another relevant engineering field from an accredited university program.
- Experience with development lifecycle methodologies such as Agile DevSecOps.
- Experience with data scripting language software like Python, Java, C , or Ruby and SQL.
- Experience with data extraction tools and processes, data ingestion, ETL, data mining, API’s, and data warehousing.
- Demonstrated experience in a data engineering role.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
- Coding knowledge and experience with multiple languages
NAS is an Equal Opportunity Employer of Minority/Women/Veterans/Disabled (AA/EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity and expression, pregnancy, physical or mental disability, citizenship, genetic information, protected veteran status or any other characteristic protected by federal, state or local law. Applicants with a physical or mental disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to careers@nas-llc.us . PLEASE DO NOT SUBMIT RESUMES to this address as they will not be considered for employment opportunities.
Job Summary
Full Time
Business Services
$99k-126k (estimate)
06/03/2024
07/26/2024
nas-llc.us
TN
1,000 - 3,000
2014
BRIAN SHERIDAN
$50M - $200M
Business Services
Related Companies
The following is the career advancement route for Senior Data Engineer - 3352 positions, which can be used as a reference in future career path planning. As a Senior Data Engineer - 3352, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer - 3352. You can explore the career advancement for a Senior Data Engineer - 3352 below and select your interested title to get hiring information.
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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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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.
02/16/2022: Denver, CO
Consider pursuing additional professional engineering or big data certifications.
03/06/2022: Raleigh, NC
Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
01/24/2022: Abilene, TX
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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