Digital Enterprise Sr. Data Engineer - Arnold AFB, TN

Digital Enterprise Sr. Data Engineer - Arnold AFB, TN

Location: Arnold AFB, TN 37389 - 100% on-site (Tullahoma, TN)

Clearance - Must have a current and active US DoD Secret clearance

Relocation - Candidates willing to relocate within a reasonable time from offer will be considered.

Job Description

The Digital Enterprise Sr. Data Engineer, will be supporting a DoD program at Arnold Air Force Base, TN. As a Digital Enterprise Sr. 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 (Arnold Engineering Development Complex) ground test data infrastructure, facility operations, and business systems.

Must have an active and transferable DoD security clearance with current investigation at the required level. Must be able to maintain the required clearance

Basic Qualifications:

• B.S. in Computer Science , Statistics, Mathematics, Engineering or another relevant engineering field from an accredited university program plus a minimum of 5 to 14 years of progressive and relevant experience.
• Current U.S. DoD active Secret Clearance

Key Responsibilities & Competencies:

• 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.
• Performs other related duties as required.

Required Skills:

• 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

Desired Skills:

• Master's or PhD degree in Computer Science, Statistics, Mathematics, Physics, Engineering or another relevant engineering field from an accredited university program.

Benefits :

Our client is headquartered in beautiful, downtown Huntsville, AL, one of the fastest growing cities in the U.S.! They cultivate and foster an environment of integrity, open communication, work life balance, and career development. They are committed to investing in our employees by offering comprehensive health insurance options, a generous 401K plan, competitive salaries, continuous career growth opportunities, flexible schedules including remote work, mentoring and performance incentives.