Data Engineer (Expert)

Job Description

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:

,

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.