Digital Enterprise Data Engineer

Astrion•Arnold AFB, TN

2d•$75,000 - $125,000

About The Position

Beyond New Horizons, LLC (BNH) has an exciting opportunity for a Digital Enterprise Data Engineer, supporting TOS II, at Arnold Air Force Base, TN. As a Digital Enterprise Data Engineer, you will work as a member of the Digital Enterprise group (DE) in the Mission Support Branch to lead the 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 Beyond New Horizons (BNH) 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. Open to internal and external candidates. The selected candidate for this requisition may be required to occasionally ( e.g. application upgrades) work outside normal business hours. Beyond New Horizons, LLC (BNH) is the team selected by the U.S. Air Force to conduct Test and Operations Sustainment at the Arnold Engineering Development Complex (AEDC) at Arnold Air Force Base in Tennessee. 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, and 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. BNH currently has an exciting career opportunity available for a Digital Enterprise Sr. Data Engineer to join our team at Arnold Air Force Base in Tennessee.

Requirements

B.S. in Computer Science, Statistics, Mathematics, Engineering or another relevant engineering field from an accredited university program.
Current U.S. Citizenship is required.

Nice To Haves

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

Responsibilities

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.
It is a condition of employment to wear PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
Perform other duties as required.