Software Engineer

Convirgence

$120K — $145K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Minimum 11 years of experience in data engineering or systems engineering.
  • Bachelor's or Master's Degree in Information Technology or Engineering preferred.
  • Expertise in integrating diverse data streams from various sources.
  • Proficient with data transfer tools (e.g., NiFi, Cribl).
  • Strong ability to analyze complex networks and systems.
  • Familiarity with log data analysis from network components and operating systems.
  • Knowledge of managing data in complex, multi-security environments.

Responsibilities

  • Design and implement data models and structures for various projects.
  • Automate data pipelines to ensure efficient data flow and accessibility.
  • Build and maintain data warehouses and data lakes for enterprise solutions.
  • Create data collection frameworks for handling both structured and unstructured data.
  • Develop governance standards for data capture, modeling, and storage.
  • Optimize data processing procedures to minimize redundancy and enhance security compliance.
  • Construct cyber and operational analytic tools to improve downstream product development.

Benefits

  • Opportunities for continuous learning and professional development.
  • Engagement with innovative data technologies and tools.
  • Collaborative work environment with experienced data professionals.
  • Exposure to advanced security concepts and practices in data engineering.
Full Job Description
Software Engineer

Herndon, VA

CB-SWE-HRN-006

As a Data Engineer, you are responsible for designing data models, building data warehouses and data lakes, automating data pipelines and working with datasets of all sizes. You will optimize overall data/information flow by reducing redundancy and enabling accessibility within security boundaries. You apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. You create data collection frameworks for structured and unstructured data. Your solutions and create 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. You use and develop standards, tools, processes and governance for capturing, modeling, storing, and delivering data for the enterprise.

Required Education, Experience and Skills:

We are actively seeking Systems Engineers to perform as a Data Engineer with a minimum of 11 years' experience. Information Technology or Engineer Bachelor's or Master's Degrees are preferred. Specific skills should include the following:
• 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

Preferred Education, Experience and Skills:
• 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

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