Data Engineer

Bridge Core (BCore) • Herndon, VA

7d • Onsite

About The Position

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a Data Engineer in Herndon, Virginia.

Requirements

• Minimum of 11 years' experience
• Experience integrating diverse data streams
• Experience with data transfer tools (Ex: NiFi, Cribl, etc)
• Establishes data standards and acts as custodian of IT and service delivery data sets and streams
• Experience in analyzing complex networks and systems
• Experience in analyzing log data from various network components and operating systems
• Knowledge of complex environments involving shared networks and multiple security enclaves
• Systems Engineer with Data Engineer background
• Ability to manage and troubleshoot data feeds
• Splunk familiarization
• Python

Nice To Haves

• Security Development and Operations (SecDevOps)
• Hands on Splunk Experience and Certifications
• Scripting tools to include Python, ShellScript, or Ansible
• Cloud security controls and implementation
• Public, private and hybrid Cloud experience (AWS, Microsoft Azure, etc.)
• AWS Certified Security Specialty

Responsibilities

• Designing data models
• Building data warehouses and data lakes
• Automating data pipelines
• Working with datasets of all sizes
• Optimizing overall data/information flow by reducing redundancy and enabling accessibility within security boundaries
• Applying data extraction, transformation and loading techniques to connect large data sets from a variety of sources
• Creating data collection frameworks for structured and unstructured data
• Creating cyber and operational analytic tools for consumers that assist them in building and optimizing downstream products inclusive of constructing dataset procedures that can help with data mining, modeling, and production
• Using and developing standards, tools, processes and governance for capturing, modeling, storing, and delivering data for the enterprise

What This Job Offers

• Job Type: Full-time
• Career Level: Senior