Security-Cleared Software Engineer - Big Data Analytics

CTI MD; Fort Meade (MD); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Competitive benefits

Professional development

Job summary

Constellation Technologies is seeking a highly skilled software professional in Maryland for a role requiring US citizenship and an active TS/SCI clearance with polygraph. The candidate should have eight years of direct experience and a BS in computer science or related field.

Proficiency in Python, Java, C++, and JavaScript is required, with experience in Spark analytics, Jupyter Notebooks, NiFi, Elasticsearch, MongoDB, and MapReduce. Familiarity with DataXplorer and geolocation data is a plus.

Qualifications

• Bachelor’s degree in computer science or related discipline from an accredited college or university is required.
• Proficiency with one or more object-oriented languages (Python, JAVA, C++)
• Experience with JavaScript and/or Spark analytics.
• Experience with Jupyter Notebooks and/or GHOSTMACHINE.
• Experience with NiFi, Elasticsearch, and MongoDB.
• Experience with MapReduce
• Develop scripts and utilize frameworks to parse, normalize, process, and analyze collected structured data.
• Experience with Maven, Query Time Analytics, and JavaScript.
• Knowledge of DataXplorer and experience working with geolocation data.

Skills

Python

Java

C++

JavaScript

Spark analytics

Jupyter Notebooks

MapReduce

Scripting frameworks

Geolocation data knowledge

Education

Bachelor’s degree in computer science or related discipline

Tools

NiFi

Elasticsearch

MongoDB

Maven

Query Time Analytics

Job description

Constellation Technologies is seeking a highly skilled software professional in Maryland for a role requiring US citizenship and an active TS/SCI clearance with polygraph. The candidate should have eight years of direct experience and a BS in computer science or related field.

Proficiency in Python, Java, C++, and JavaScript is required, with experience in Spark analytics, Jupyter Notebooks, NiFi, Elasticsearch, MongoDB, and MapReduce. Familiarity with DataXplorer and geolocation data is a plus.