Data Warehousing Specialist Journeyman Level

Job Details

Level: Experienced

Job Location:

National Capitol Region - NCR, VA

Position Type:
Full Time

Education Level: High School Diploma/ GED

Salary Range: $ - $ Salary

Vickers and Nolan Enterprises (VNE) is an engineering company that provides Government projects and programs with experienced and dedicated system architects, engineers, subject matter experts (in tactical intelligence), and program managers. VNE also develops training courses and tools to prepare warfighters to effectively employ tactical intelligence systems and provide management guidance to the Government organizations that develop these systems.

VNE has earned a reputation for exceptional performance, innovation, agility, and responsiveness in the Intelligence Community (IC). We attack our mission with a comprehensive understanding of the data available and required; skilled research, design, development, integration, and testing of systems and software solutions; expertise in cybersecurity/information assurance and technology; programmatic, acquisition, and logistics support know-how; and our own unique training curricula that enables students to excel at intelligence operations across all levels of the community.

VNE is devoted to improving tactical operations at home and abroad by enabling the seamless transition of data across the intelligence community and developing/integrating solutions to unify operations and intelligence.

VNE is a Service Disabled Veteran Owned Small Business (SDVOSB) founded in 2004 in Stafford, VA.

• High School with 7 to 25 Years of experience
• Bachelor's degree in a Data or IT-related field with 3 to 15 years of experience
• 5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data
• 3+ years of experience with Python, SQL, Scala, or Java
• 3+ years of experience building scalable ETL/ELT workflows for reporting and analytics
• Experience creating solutions within a collaborative and cross-functional team environment
• Experience using version control tools such as Git Lab, Git Hub, or Bitbucket
• Ability to develop scripts and programs for converting various types of data into usable formats, and support project team to scale, monitor, and operate data platforms
• Possesses and applies expertise on multiple complex work assignments. Assignments may be broad in nature, requiring originality and innovation in determining how to accomplish tasks.
• Operate with appreciable latitude in developing methodology and presenting solutions to problems.
• Ability to obtain a Security+ Certification within 30 days of start date
• TS/SCI level Clearance required.

• Experience with UNIX or Linux, including basic commands and Shell scripting
• Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
• Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
• Experience working on real-time data and streaming applications
• Experience with No
  
  SQL implementation, including MongoDB or Cassandra
• Experience with Databricks
• Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
• Experience with Agile engineering practices
• Need to be able to work out of McLean and Ft. Belvoir.

As a Data Warehousing Specialist in Data Engineering, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you’re looking for the chance to not just develop, but to create a system that will make a difference, we need you on our team. We’re looking for an experienced specialist like you with the skills needed to develop software and systems from vision to production-ready.

This role is more than just coding. As a Data Warehousing Specialist, you’ll use your passion to master new tools and techniques and identify needed system improvements. You’ll help design, develop, and maintain robust processes to efficiently move data from source systems to our robust data lake. You'll also help maintain and update technical documentation for processes and data pipelines.

“Design, model, or implement corporate data warehousing activities. Program…