What are the responsibilities and job description for the Data Engineer Junior/Mid Level position at Praxis Engineering?
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:
- 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 will 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
Salary : $89,250 - $195,500
