Digital Enterprise Data Engineer

Beyond New Horizons; Manchester (TN); On-site; USD 89,000 - 145,000; Full time

Benefits offered by this job

Continuing education assistance

Health-care benefits packages

401(k) with employer matching

Paid time off

Job summary

Beyond New Horizons in Manchester, TN is seeking a Digital Enterprise Data Engineer to lead data-centered projects at Arnold Air Force Base. This role involves optimizing data infrastructure, implementing machine-learning tools, and coordinating with multidisciplinary teams.

The ideal candidate will have a B.S. degree in a relevant field and extensive experience in data engineering and analytics. The position offers a competitive salary and several benefits including health care and 401(k) matching.

Qualifications

• Minimum of 2 years IT/Data work experience for Grade 07.
• Minimum of 5 years IT/Data work experience for Grade 08.
• Knowledge of Agile and DevSecOps methodologies.

Responsibilities

• Implement data engineering strategies and optimize data analytics.
• Automate manual processes and optimize data delivery.
• Integrate AI solutions into data platforms on-prem and in the cloud.

Skills

Data engineering strategies

Data analytics optimization

Machine learning

Programming languages (Python, Java, C++)

Education

B.S. in Computer Science, Statistics, Mathematics, Engineering

Tools

ETL tools

Data extraction tools

SQL

Job description

Digital Enterprise Data Engineer

Location: Arnold AFB, TN

Overview

Beyond New Horizons LLC (BNH) offers an opportunity for a Digital Enterprise Data Engineer to support TOS II at Arnold Air Force Base. The role is part of the Digital Enterprise group in the Mission Support Branch and involves leading the implementation of data‑centered projects to improve the AEDC ground test data infrastructure, facility operations, and business systems.

Job Duties

• Develop and implement data engineering strategies and programs.
• Utilize test data sources to optimize data analytics at AEDC and suggest insights for testing sustainment and operational strategies.
• Automate manual processes, optimizing data delivery and redesigning infrastructure for greater scalability.
• Use machine‑learning tools to select features, create and optimize classifiers.
• Integrate AI solutions into ETL or data platforms both on‑prem and in the cloud.
• 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.
• Apply big‑data, analytics, algorithmic, custom data models, and machine‑learning approaches to support engineering decisions.
• Coordinate with multidisciplinary teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Define and develop the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL and big‑data technologies.
• Wear company‑issued PPE in accordance with supervisory direction and company policy.
• Identify and complete projects associated to data engineering.
• Perform other related duties as required.

Basic Qualifications

• B.S. in Computer Science, Statistics, Mathematics, Engineering, or a related engineering field from an accredited university program.
• Grade 07: 2 years of progressive IT/Data work experience; or 6 years of IT/Data related experience in lieu of a degree.
• Grade 08: 5 years of progressive IT/Data work experience; or 9 years of IT/Data related experience in lieu of a degree.
• Current U.S. citizenship required.

Preferred Qualifications

• Experience with development lifecycle methodologies such as Agile, DevSecOps.
• Experience with data scripting languages such as Python, Java, C++, Ruby, and SQL.
• Experience with data extraction tools and processes, data ingestion, ETL, data mining, APIs, and data warehousing.
• Experience with AI solutions.
• Demonstrated experience in a data engineering role.
• Knowledge of machine‑learning techniques and their real‑world applications.
• Strong coding knowledge and experience with multiple languages.

Benefits and Compensation

• Competitive salaries (Grade 07: $89,000 – $119,000; Grade 08: $110,000 – $145,000 per year).
• Continuing education assistance.
• Multiple health‑care benefits packages.
• 401(k) with employer matching.
• Paid time off (PTO) with federally recognized holiday schedule.

Candidate Requirements

• U.S. citizenship is required; no sponsorship for employment authorization will be provided.

Equal Employment Opportunity Statement

BNH is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, veteran status, and any other grounds for discrimination prohibited by applicable law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.