Digital Enterprise Data Engineer

BNH•San Marcos, TX

3d•$89,000 - $145,000•Onsite

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 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. The selected candidate for this requisition may be required to occasionally (e.g. application upgrades) work outside normal business hours.

Requirements

B.S. in Computer Science, Statistics, Mathematics, Engineering or another relevant engineering field from an accredited university program.
Grade 07: 2 years of progressive IT/Data work experience; In lieu of degree 6 years of IT/Data related
Grade 08: 5 years of progressive IT/Data work experience; In lieu of degree 9 years of IT/Data related
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.
Experience with AI solutions.
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

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.
Integrate AI solutions into the ETL or data platforms both on prem and in the cloud.
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.
Identify and complete projects associated to data-engineering.
Performs other related duties as required.