Data Engineer

Senior Data Engineer

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.

What you will be doing:

• 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

What you need:

REQUIRED TECHNICAL SKILLS

• Demonstrated experience with the following languages: Java/J2EE, C, C++, SQL, XML, XQuery, XPath, HTML/XHTML, CSS, Python, Shell Scripting, JSON, JavaScript
• 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)
• Demonstrated experience applying machine learning methodologies to build high-quality prediction models
• 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

WHAT YOU’LL NEED TO SUCCEED:

• 5+ years of related software engineering and ETL experience
• Bachelor’s or Technology degree in Engineering or a related specialized area/field, OR equivalent 7+ years job-related experience OR Master's degree with 3+ years of job-related experience.
• Demonstrated experience building and maintaining data flows in NiFi or Pentaho or Java
• Excellent organizational, coordination, interpersonal and team building skills
• Location: At Customer Site – near Tyson Corner
• US Citizenship Required

Clearance: 
Active TS/SCI with an appropriate polygraph is required to be considered for this role

Who are we?
Praxis Engineering* was founded in 2002 and is headquartered in Annapolis Junction MD - with growing offices in Chantilly VA and Aberdeen MD.

Praxis Engineering is a consulting, product, and solutions firm dedicated to the practical application of software and system engineering technologies to solve complex problems. 

With over 300 employees supporting more than 50 contracts, Praxis brings together world class engineers with proven engineering best practices, domain expertise, commercial technologies and proven agile management approaches to create high value solutions aimed at helping our customers meet their most critical business and mission objectives.  

*Praxis Engineering is a wholly owned subsidiary of General Dynamics IT.

Why Praxis? 
We are focused on continual learning and evolution. We don’t do things because “that’s the way we’ve always done things”; we listen to our employees and adapt to the changing marketplace.   We look at the big picture and encourage our engineers to get training and certifications in emerging technologies that will help shape our customer’s mission.  We've been profitable year after year.  We're always on the lookout for great eng