Data Engineer

Company:
Location: Herndon, VA 20171

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Title: Data Systems Engineer, Expert
Location: McLean, VA
*Clearance: Active TS/SCI w/ Polygraph needed to apply *


Company Overview:

Cornerstone Defense, in partnership with our military, intelligence, and civil government customers, supports U.S. operations worldwide through the use of many different types of intelligence, satellite, and cyber technologies. Cornerstone’s Intelligence Sector provides solutions to the United States Government for information collection, operations, exploitation and dissemination, and research activities. Our Team specializes in software development, cloud architecture, systems and network engineering, systems integration, agile management, as well as targeting operations and intelligence analysis. Our support to our mission customers includes cyber network operations, exploitation and defense, signals intelligence, human intelligence, and critical missions and networks.


Description/Responsibilities:

As a Systems Engineer supporting the customer, you will be trusted to execute multi-faced programs that support dynamic mission sets. In this role, a typical day will include:

  • Creating and maintaining optimal data pipeline architecture
  • Developing systems to monitor the health of existing data pipelines, and developing solutions to data pipeline issues
  • Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Building the infrastructure for optimal extraction, transformation, and loading of data from a large variety of data sources using SQL and ‘big data’ technologies
  • Working with stakeholders who have data-related technical issues to support their infrastructure needs
  • Recommending and implementing ways to improve data reliability, efficiency, and quality
  • Working with data and analytics experts to strive for improved functionality across our data systems

Required Qualifications:

  • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience.
  • Experience with AWS cloud services
  • Advanced working SQL knowledge and experience working with relational databases
  • Experience building and optimizing ‘big data’ pipelines
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Experience manipulating, processing, and extracting value from large disconnected datasets
  • Strong project management and organizational skills
  • Experience with data pipeline and workflow management tools
  • Experience with Python

Preferred Qualifications:

  • Experience working with Apache NiFi
  • Experience with geospatial data
  • Familiarity with Intelligence Community data
  • Demonstrated on-the-job experience using software development project management software, ideally JIRA

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