Data Engineer (TS/SCI Eligible) – AWS & Spark

Full Visibility LLC

Huntsville (AL)

Sur place

USD 110 000 - 160 000

Plein temps

Il y a 40 heures
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Résumé du poste

Full Visibility LLC in Huntsville, AL is seeking a Mid-Level Data Engineer to deliver an advanced visual analytics application, including data analytics for desktop and web visuals and high-performance data pipelines.

The role requires a Top Secret/SCI eligible clearance and six years of related experience, a bachelor's degree or equivalent, and hands-on work with Java, AWS, ETL, Spark/Scala, SQL/PLSQL, Postgres, NiFi, Informatica, Linux, and data pipelines.

Qualifications

  • Active Top Secret Clearance/SCI eligibility with CI polygraph potential.
  • Six years of experience in a related field as a Data Engineer.
  • Bachelor’s degree in a related field or 4 additional years of relevant experience.
  • Experience with Java, AWS, ETL, Spark/Scala, SQL/PLSQL, Postgres, NiFi, Informatica, Linux, and data pipelines.

Responsabilités

  • Deliver an advanced visual analytics application with desktop and web data analytics.
  • Develop data analytics, facilitate bulk analysis of relational information with graphics and HPC.
  • Set standards for operations, programming, and security; design enterprise databases.
  • Integrate new systems with existing warehouse structures and optimize performance.

Connaissances

Top Secret/SCI eligibility
Six years of data engineering

Formation

Bachelor’s degree or equivalent experience
Additional four years of relevant experience in lieu of degree

Outils

Java
AWS
ETL
Spark/Scala
SQL/PLSQL
Postgres
NiFi
Informatica
Linux

Description du poste

Full Visibility LLC in Huntsville, AL is seeking a Mid-Level Data Engineer to deliver an advanced visual analytics application, including data analytics for desktop and web visuals and high-performance data pipelines.

The role requires a Top Secret/SCI eligible clearance and six years of related experience, a bachelor's degree or equivalent, and hands-on work with Java, AWS, ETL, Spark/Scala, SQL/PLSQL, Postgres, NiFi, Informatica, Linux, and data pipelines.

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