Data Engineer

Job Title: Data Engineer

Location: Arnold AFB, TN

Job Family Code: N-Databases & Data Warehousing

Function/Branch: Engineering / Engineering Solutions

Directorate: Engineering & Technical Support

Position Type: Regular, Full-Time

Pay Type: Exempt

Grade: L07 (NA0704) - L08 (NA0807)

Salary Range: L07: $84,000 - $112,000; L08: $104,500 - $139,000/ per year

Overview

Beyond New Horizons, LLC (BNH) has an exciting opportunity for a data engineer to join the Engineering Solutions team supporting the Test Operations and Sustainment contract at Arnold Engineering Development Complex at Arnold AFB, TN. This engineer will be working as a member of an integrated team responsible for maintaining and sustaining the United States Air Force Test Operations and Sustainment efforts.

Open to internal and external candidates

**If you are seeing this posting on a job board, BNH highly recommends you apply directly on the Careers Center page of our business website (https://careers-bnh.icims.com/jobs). Job board applications are not always compatible with company applicant tracking systems. **

Job Summary

The successful candidate will be highly organized, have effective verbal and written communication skills, be able to work with discretion and confidentiality, proven time management skills, be proactive, and be willing to continually learn new duties and skills.

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.
• Integrate AI solutions into data platforms both on premises 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 9big data9, 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 9big data9 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.

Basic Qualifications:

• Bachelor of Science (B.S.) in Computer Science, Statistics, Mathematics, Engineering, or a related technical discipline, and a minimum of two (2) years of professional experience in information technology, data analysis, or data science; OR A High School Diploma or equivalent and a minimum of six (6) years of experience in the same technical fields.
• Must be able to obtain and maintain an active security clearance and maintain authorized user access to the AEDC local area network.
• S. Citizenship is required due to federal government contract compliance requirements and the necessity to access secure federal databases and networks on Arnold Air Force Base.

Preferred Qualifications:

• Experience with data scripting language software like Python, Java, C++, or Ruby.
• Experience with writing SQL queries and with relational databases in general such as PostgreSQL, MySQL, and SQL Server
• Experience with NoSQL databases such as MongoDB or Cassandra.
• Experience with data extraction tools and processes, data ingestion, ETL, data mining, API9s and data warehousing.
• Experience with development lifecycle methodologies such as Agile DevSecOps.
• 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
• Strong oral and written communication skills.
• The ability to participate in and foster a work environment that is based upon openness, trust, communication, teamwork, empowerment, innovation, and satisfaction.

What We Offer

• Competitive salaries
• Continuing education assistance
• Multiple healthcare benefits packages
• 401K with employer matching
• Paid time off (PTO) along with a federally recognized holiday schedule