Data Engineer (Senior)

Full VisibilityHuntsville, AL
Onsite

About The Position

Full Visibility is seeking a Data Engineer (Senior) to work in Huntsville, AL. Candidate must possess an active Top Secret/SCI Eligible clearance. The Data Engineer (Senior) will be responsible for engineering in support of an advanced visual analytic application that includes developing data analytics for desktop and web-developed visual analytic software, facilitating the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing, as well as using the specified open source, COTS, and GOTS technologies. The Data Engineer SME will establish an application that produces manageable, actionable intelligence from streams of structured and semi-structured data; design strategies for enterprise database systems and set standards for operations, programming, and security; design and construct large relational databases; and integrate new systems with existing warehouse structure and refine system performance and functionality.

Requirements

  • Active Top Secret Clearance
  • This position may require the successful completion of a Counterintelligence (CI) Polygraph.
  • At least eight (8+) years of experience providing data engineering or related work.
  • Knowledge of NIFI, Java, AWS, ETL, SQL / PLSQL, Linux, Spark / Scala.
  • Understanding of data pipelines.
  • Robust decision-making skills and domain knowledge.
  • Bachelor’s Degree in related field or in lieu of degree, 4 additional years of experience.

Nice To Haves

  • Agile
  • Maven
  • Gitlab

Responsibilities

  • Engineering in support of an advanced visual analytic application
  • Developing data analytics for desktop and web-developed visual analytic software
  • Facilitating the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing
  • Using specified open source, COTS, and GOTS technologies
  • Establishing an application that produces manageable, actionable intelligence from streams of structured and semi-structured data
  • Designing strategies for enterprise database systems and setting standards for operations, programming, and security
  • Designing and constructing large relational databases
  • Integrating new systems with existing warehouse structure and refining system performance and functionality

Benefits

  • FULL EMPLOYEE approach where each employee’s professional and personal well-being is considered.
  • Focus on employee development, success, and morale.
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