Data Engineer

WE ARE ARCARITHM, and we are changing the world!

If you are ready to grow your career and change the world with us, then join the Arcarithm team!

We are located in beautiful, downtown Huntsville, AL, one of the fastest growing cities in the U.S.! At Arcarithm, we cultivate and foster an environment of integrity, open communication, work life balance, and career development. We 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.

Arcarithm is currently seeking top talent in the areas of full stack software development, artificial intelligence, optimization, and data analytics. You will work in a dynamic and challenging environment alongside our customers which include Lockheed Martin, General Dynamics, Northrop Grumman, Raytheon, US Army, US Navy, US Air Force, the Missile Defense Agency, and NASA on cutting edge technologies including machine learning, augmented and virtual reality, big data analytics, and more!

We are excited to continue to change and improve the world through innovation and technology!

Contact us today to hear more about Arcarithm and all we offer!

Job Title: Sr. Data Engineer

Job Location: Tullahoma, TN

This role of the Sr. Data Engineer is to develop and apply statistical and modern analytical methods to improve operations and maintenance of the Arnold Engineering Development Complex (AEDC) air and space ground test equipment and facilities. The successful candidate 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 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.

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.
• 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.

Basic Qualifications:

• B.S. in Computer Science, Statistics, Mathematics, Engineering or another relevant engineering field from an accredited university program plus a minimum of 6 to 14 years of progressive and relevant experience.
• Current U.S. Citizenship is required.

Preferred Qualifications

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