Jobs and Careers

Data Engineer (Geospatial) (TS/SCI with Poly Required)

General Dynamics Information Technology

United Statesfull_timeVerifiedPosted 13 Dec 2024

💰 $184,000/yr($136,000/yr – $184,000/yr)

About the role

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Data Science

Job Qualifications:

Skills:

C++ Programming Language, Geospatial Data, Geospatial Tools, Java, Structured Query Language (SQL)

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

Yes

Job Description:

Deliver insights to help our clients turn data into action as a Data Engineer Sr Advisor at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.

The Data Engineer will manipulate data and data flows for both existing and new systems. Their previous experience must include a geospatial and telemetry focus. Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, data extraction, analytical support, operational support, database support, and maintenance support of data and associated systems. As a member of the team, candidates will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of large-scale (terabytes) database development, large-scale file manipulation, data modeling, data mapping, data testing, data quality, and documentation preparation.

HOW A DATA ENGINEER SR ADVISOR WILL MAKE AN IMPACT:

Research, design, and develop better ways of leveraging geospatial and telemetry data flows in our enterprise-wide systems and/or applications
Use Java to manage and improve current NiFi code
Troubleshoot Oracle and Elastic datastores in the event of an outage
Develop complex data flows, or makes significant enhancements to existing pipelines
Resolves complex hardware/software compatibility and interface design considerations
Conducts investigations and tests of considerable complexity
Provides input to staff involved in writing and updating technical documentation
Troubleshoots complex problems and provides customer support for the ETL process
Prepares reports on analyses, findings, and project progress
Provides guidance and work leadership to less-experienced engineers

WHAT YOU’LL NEED TO SUCCEED:

The position requires an active TS/SCI with Polygraph security clearance
Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
Minimum eight (8) years of related software engineering and ETL experience
Experience building and maintaining data flows in NiFi, Pentaho, and Kafka
Experience with the following languages: Java/J2EE, C, C++, SQL, XML, XQuery, XPath, Python, JSON
Experience with data visualization with geospatial data, ESRI, and related technologies (Elastic)
Analytic and targeting methodologies related to geospatial data
Familiarization with NoSQL datastores
Excellent organizational, coordination, interpersonal and team building skills

DESIRED QUALIFICATIONS

Familiarization executing jobs in Big Data Technologies (i.e., Hadoop or Spark)
Knowledge of servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure
Strong problem-solving skills
Ability to comprehend database methodologies
Focus on continual process improvement with a proactive approach to problem solving

GDIT IS YOUR PLACE: