We are GDIT. We stay at the forefront of innovation to solve complex technical challenges. GDIT is your place. Make it your own by discovering new ways to securely and expertly apply the latest technology. Own your opportunity at GDIT and you’ll be a meaningful part of improving how agencies operate.
Our work depends on a Senior Software Engineer joining our team to support our client activities in McLean, VA. 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, 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 familiarity with the principles of large-scale (terabytes) database development, large-scale file manipulation, data modeling, data mapping, data testing, data quality, and documentation preparation. The majority of this position will require on the job training
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
5+ years of related software engineering, data analysis or ETL experience.
Experience with Java, Python, and SQL.
Experience with work-flow orchestration frameworks such as Pentaho, NiFi, or Apache Hop.
Strong desire to learn (including but not limited to new data, methodologies and applications).
Ability to follow directions and finish tasks.
Strong problem solving skills.
Excellent organizational, coordination, interpersonal and team building skills.
Experience with Enterprise search systems such as Elasticsearch and Solr
Knowledge of servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure
Experience with distributed comping frameworks including Apache Hadoop and Apache Spark
Experience with cloud computing to include AWS
Ability to comprehend database methodologies
Data analytics skills, to include detailed data analysis and metric generation
Experience with data visualization and data validation routines
Analyze data to identify new data or changes to existing data
Research, design, develop and/or modifies enterprise-wide systems and/or application software.
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.
Researches emerging technologies to determine impact on application execution.
Troubleshoots complex problems and provides customer support for the ETL process
Advises hardware engineers on machine characteristics that affect software systems, such as storage capacity, processing speed, and input/output requirements.
Prepares reports on analyses, findings, and project progress.
About Our Work
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 does not have a vaccination mandate applicable to all employees. To protect the health and safety of its employees and to comply with customer requirements, however, 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.
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.