Digital Enterprise Jr. Data Engineer

BNHSan Marcos, TX
$74,000 - $125,000Onsite

About The Position

Beyond New Horizons, LLC (BNH) has an exciting opportunity for a Digital Enterprise Jr. Data Engineer, supporting TOS II, at Arnold Air Force Base, TN. As a Digital Enterprise Jr. 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 or at least 4 years of relevant work experience.
  • 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.
  • 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

  • Assist in analyzing data from various sources to identify insights and support analytics initiatives.
  • Contribute to building, automating, and maintaining data pipelines and ETL (Extract, Transform, Load) processes.
  • Support the team in implementing and monitoring machine learning models.
  • Collaborate with multidisciplinary teams on data-related projects and tasks under the guidance of senior staff.
  • Assist the data analysts in creating automation of data pipelines and dashboards.
  • Learn and apply new data engineering techniques and technologies to support project goals.
  • It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy
  • Perform other related duties as required

Benefits

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