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

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:

• 401K with company match

• Comprehensive health and wellness packages

• Internal mobility team dedicated to helping you own your career

• Professional growth opportunities including paid education and certifications

• Cutting-edge technology you can learn from

• Rest and recharge with paid vacation and holidays

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