Job Description We are actively seeking a Systems Engineer to perform as a Data Engineer. You will have a minimum of 11 years of experience and a bachelor's or master's degree. 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 will apply data extraction, transformation, and loading techniques in order to connect large data sets from a variety of sources. You will create data collection frameworks for structured and unstructured data. You will 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 will use and develop standards, tools, processes and governance for capturing, modeling, storing, and delivering data for the enterprise. , Required Skills 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 , Desired 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 , About NeoMax NeoMax is a minority owned small business that specializes in DevOps, Data Science, and Cybersecurity IT solutions. With over ten years of experience in research, engineering and development, we take a "big picture" approach to meeting our business needs, prioritizing both technical and soft skills in the workplace for improved performance. We create a thriving work environment that enables us to provide excellent support to our customers. We encourage and respect each other, just as we are encouraged and respected by our leadership. We are committed to contributing to the health of the organization by ensuring our words and actions align with our core values of Integrity, Diversity, Empowerment, Ambition and Service. We recognize that we represent the company in all aspects of our professional interactions, and we treat individuals external to our organization with the same respect that we treat each other.