We are searching for a Top Secret cleared Data Engineer (Senior) to join our team in Huntsville, AL.
You will be working in an organization that's mission is to accelerate operations through data and new analytical insights. The entire section leverages SAFe agile and works to provide the entire enterprise with tools and applications to assist with operational data discovery, data exploitation, data analytics, and data visualization tools. The section works closely with the entire enterprise to ensure its applications and tools meet or exceed the needs of the mission.
The Data Engineer is a part of a team that will lead large scale data analysis projects to designs and delivers on premises and cloud-based applications.
The Data Engineer is responsible for carrying out engineering tasks to deliver an advanced visual analytic application to include: 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; and establishing an application that produces manageable, actionable intelligence from streams of a structured and semi-structured data. Design strategies for enterprise database systems and set standards for operations, programming, and security. The Data Engineer is also responsible the design strategies for enterprise database systems and set standards for operations, programming, and security. Design and construct large relational databases. Integrate new systems with existing warehouse structure and refine system performance and functionality. Operates with appreciable latitude in developing methodology and presenting solutions to problems.
This position is located in Huntsville, AL and is an exciting opportunity for cleared talent with a Top Secret clearance to work the program.
This position is contingent upon contract award
#divergent
Active Top Secret clearance
Minimum of 8 years' experience
Bachelor's Degree in Information Systems Engineering, Computer Science, Engineering, Business or other related field.
In absence of degree, additional years of experience may can be substituted for educational requirements.
Experience with maintaining the Apache Hadoop Ecosystem, especially utilizing Hbase, MapReduce and Spark
Experience with ETL processes utilizing Linux shell scripting, Perl, Python, and Apache Airflow
Experience with AWS services such as CloudWatch, CloudTrail, ELB, EMR, KMS, SQS, SNS and Systems Manager
Experience in supporting, maintaining, and migrating JavaFX applications to modern cloud-native solutions
