The Data Engineer will manipulate data and data flows for both existing and new systems. Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems. As a member of the team, candidate 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.
Bachelor’s degree in a related business or technical discipline, or the equivalent combination of education, technical training, or work/military experience
8 or more years of related software engineering and ETL experience
Demonstrated experience building and maintaining data flows in NiFi or Pentaho or Java
Excellent organizational, coordination, interpersonal and team building skills
Demonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions and/or improve processes
Demonstrated experience with relational databases (ex - Oracle / MySql)
Demonstrated experience with GPU processing
Demonstrated experience with search architecture and data visualization tools (ex - ElasticSearch, OmniSci)
Familiar with servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure
Familiar with database methodologies
Familiar with Source code management and integration (ex - GitHub/GitLab, Jenkins, RunDeck)
Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano
Ability to work well in a fast-paced, constantly evolving work environment with a focus on continual process improvement and a proactive approach to problem solving
Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems
Develop and manage complex data flows, or makes significant enhancements to existing pipelines
Troubleshoot complex problems and provide customer support for the ETL process
Resolve complex hardware/software compatibility and interface design considerations
Conduct investigations and tests of considerable complexity
Research emerging technologies to determine impact on application execution
Communicate clearly and effectively with teammates, customers, and external partners
Prepare written and verbal communications on analyses, findings, and project progress
Write and maintain technical documentation
Advise hardware engineers on machine characteristics that affect software systems, such as storage capacity, processing speed, and input/output requirements
Provide guidance and work leadership to less-experienced engineers
May serve as a technical team or task leader
COVID-19 Vaccination Requirement: To protect the health and safety of its employees and to comply with customer requirements, GDIT may require employees in certain positions to be fully vaccinated against COVID-19. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements.
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.