Digital Enterprise Jr. Data Engineer

BNH•San Marcos, TX

1d•$74,000 - $125,000•Onsite

About The Position

Beyond New Horizons, LLC (BNH) has an exciting opportunity for a Digital Enterprise Jr. Data Engineer, supporting TOS II, at Arnold Air Force Base, TN. As a Digital Enterprise Jr. Data Engineer, you 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 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.

Requirements

B.S. in Computer Science, Statistics, Mathematics, Engineering or another relevant engineering field from an accredited university program or at least 4 years of relevant work experience.
Current U.S. Citizenship is required.

Nice To Haves

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.
Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
Coding knowledge and experience with multiple languages.

Responsibilities

Assist in analyzing data from various sources to identify insights and support analytics initiatives.
Contribute to building, automating, and maintaining data pipelines and ETL (Extract, Transform, Load) processes.
Support the team in implementing and monitoring machine learning models.
Collaborate with multidisciplinary teams on data-related projects and tasks under the guidance of senior staff.
Assist the data analysts in creating automation of data pipelines and dashboards.
Learn and apply new data engineering techniques and technologies to support project goals.
It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy
Perform other related duties as required