As the Senior Data Architect, you'll be exposed and contribute to the development and application of innovative technologies such as machine learning, artificial intelligence, and advanced data analytics. Our work depends on a Data Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.

What you will be working on:

• Research and properly evaluate sources of information to determine possible limitations in reliability or usability
• Apply sampling techniques to effectively determine and define ideal categories to be questioned
• Compare and analyze provided statistical information to identify patterns, relationships and problems
• Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
• Prepare detailed reports for management and other departments by analyzing and interpreting data
• Train assistants and other members of the team how to properly organize findings and read data collected
• Design computer code using various languages to improve and update software and applications
• Refer to previous instances and findings to determine the ideal method for gathering data
• Support the Geospatial Services and Solutions business area to provide high-quality, cost-effective solutions to the customer
• Design and implement automation solutions to enhance data capture, data refinement, and processes. Coding examples include:
  • Interfacing with device APIs in order to collect operational metrics
  • Providing automated VoIP phone setup
  • Administering and automating data pipelines between different environments
• Utilize best practices for source control, testing, and deployment of software changes
• Work in close collaboration with other automation engineers, infrastructure administrators, and data scientists
• Diagnose, isolate, and expediently resolve complex problems pertaining to data structures
• Develop methods of ensuring data incompatibilities among systems are systematically eliminated
• Design, Develop and recommend data management policies, standards, practices, and security measures to ensure effective and consistent data management operations
• Participate in continuous improvement efforts to increase data availability, data quality, and speed of access
• Maintain up-to-date documentation of designs/configurations, ensuring team members have continuity of recurring tasks

What you will bring to us:

• Bachelor's degree in mathematics, statistics, computer science or related field
• 8 years of related data engineering architecture and design
• Comfort with Linux/Windows command-line
• Automation mindset
• System administration and/or DevOps environment experience
• Active TS/SCI clearance and eligibility to obtain a CI poly
• Strong math and analytical skills are essential to complete job requirements successfully
• Experience working with private and sensitive personal information
• Confident in decision making and the ability to explain processes or choices as needed
• Strong computer skills and ability to use necessary databases and software
• Interpersonal and customer service skills are required when meeting with and interviewing potential clients
• Excellent multitasking skills and task management strategies
• Ability to complete milestones and work toward multiple deadlines simultaneously

Would be nice if you bring the following:

• Python experience
• Shell scripting experience such as Bash or PowerShell
• Experience with Database technologies such as Postgres, SQL Server, Oracle, or MySQL
• Experience writing and working with SQL commands
• Version control experience with Git
• Experience with Gitlab and Git workflows
• Familiarity with Agile Scrum methodologies
• Time management skills and the drive to work with limited supervision within a small team

Bonus Skills:

• Web App development experience such as Flask, Django, React, etc.
• UI/UX experience
• Experience with Analytics tools such as Tableau
• Infrastructure as Code experience
• Experience in technical operations at DoD/IC agencies
• Cloud experience such as AWS, Azure, GCP, etc.