Mid‑Level Data Engineer - Visual Analytics & AWS (TS/SCI)

Full Visibility LLC; Huntsville (AL); On-site; USD 115,000 - 165,000; Full time

Job summary

Full Visibility LLC, located in Huntsville, AL, is seeking a Mid-Level Data Engineer with an active Top Secret/SCI eligible clearance. The role focuses on delivering an advanced visual analytics application, developing data analytics, and enabling high-performance data processing for government missions.

The candidate will design enterprise databases, integrate new systems with existing warehouses, and ensure robust security and performance of data pipelines.

Qualifications

• Active Top Secret Clearance/SCI eligibility required.
• Minimum of six (6) years of experience in a related field.
• Bachelor’s degree in a related field, or equivalent experience (4 years additional experience in lieu of degree).
• Experience with Java, AWS, ETL, Spark/Scala, SQL/PLSQL, Postgres, NiFi, Informatica, Linux, and data pipelines.

Responsibilities

• Develop data analytics for desktop and web-developed visual analytic software.
• Facilitate bulk analysis of relational information using advanced graphics, visualization, and high-performance computing.
• Establish an enterprise database architecture and set standards for operations, programming, and security.
• Design and construct large relational databases and integrate new systems with existing warehouse structures.
• Refine system performance and functionality across data pipelines.

Skills

Java

AWS

ETL

Spark/Scala

SQL/PLSQL

Postgres

NiFi

Informatica

Linux

Data pipelines

Education

Bachelor's degree or equivalent experience

Tools

GOTS technologies

Job description

Full Visibility LLC, located in Huntsville, AL, is seeking a Mid-Level Data Engineer with an active Top Secret/SCI eligible clearance. The role focuses on delivering an advanced visual analytics application, developing data analytics, and enabling high-performance data processing for government missions.

The candidate will design enterprise databases, integrate new systems with existing warehouses, and ensure robust security and performance of data pipelines.