Working knowledge of design, implementation, and maintenance of: Local area networks, Microsoft Active Directory / GPO, Data Loss Prevention, Encryption Technologies, Vulnerability Management, Intrusion Detection Systems, Intrusion Prevention Systems, Linux Operating Systems, Windows Operating Systems, Communication Protocols, Multi-factor authentication, Cloud Access Security Broker, Endpoint Detection and Response Technologies, Security Information and Event Management Tools.
Must have working knowledge of the HIPAA Security Rule and PCI.
Must have the ability to support project plans, organize and monitor tasks, and be able to produce quality results in a timely manner.
Must have superior writing skills and the ability to communicate effectively.
Must be able to perform technical risk assessments and implement corrective actions regarding the safeguarding of information systems.
Must have the ability to perform research in order to determine industry standard products and solutions in response to security requirements.
Must have a Bachelors degree in Management Information Systems.
Ability to communicate complex security issues to peers and management.
Professional experience in a system administration role supporting multiple platforms and applications.
Ability to comprehend results of mobile code, malicious code, and anti-virus software Critical thinking skills and the ability to solve problems as they arise.
Must be able to support complex information security tools and provide guidance to other technical staff on proper use of the tools.
Must have two years of experience in an information systems security domain with a background in mobile device security, endpoint protection, wireless protection, vulnerability management, incident response and mitigation, threat research and cyber intelligence analysis or other cyber security domain.
Knowledge in NIST, HITRUST and associated common security frameworks.
Must have a current CompTIA Security+ Certification or equivalent in industry certification, background and knowledge within 6 months of placement into position.

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System Reliability Test Engineer

Symbotic

Dallas, TX 75215

RemoteHealth InsurancePaid Time OffRetirement Benefit

The base range for this position in the posted location is $71,000.00 - $97,900.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience.
The employee is routinely required to work at heights of up to 45 feet and within restrictive areas of 24 inches. to stand; climb or balance and stoop, kneel, crouch, or crawl.
The employee must regularly lift and/or move up to 50 pounds.
Approximately 75% of time will be spent on a construction site with PPE required (hard hat, safety vest, steel toes, eyeglasses, ear protection, fall protection).
The employee is frequently required to walk and reach with hands and arms.
Remote, field-based position.
Travel is required up to 75% of the time.
Subject to environmental conditions, protection from weather conditions but not necessarily temperature changes. Must be capable of working in temperatures ranging from 105° to 32° Fahrenheit.
The employee must have a valid driver's license and the ability to drive and/or fly to client and other customer locations.
Must comply with all safety requirements and protocols, including without limitation Lock out tag out safety protocols and fall protection safety protocols.
There will be steep stairs to climb into the structure. You may be required to routinely walk up and down stairs to navigate the automation structure.
You will regularly be near railings that are high off the ground.
The employee is responsible to own a credit card and manage expenses personally to be reimbursed on a bi-weekly basis.

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AI Systems Engineer

Lockheed Martin

Fort Worth, TX 76102

Flexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

New, Posted 8 hours ago

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Data Engineer

Experis

Dallas, TX 75254

$70-$90/hr

OnsiteHealth InsuranceRetirement Benefit

Hands-on experience with SQL database design, ETL tools, and cloud environments like AWS, GCP, or Azure.
Technical expertise with data models, data mining, and segmentation techniques.
Minimum of 5 years of relevant experience in data engineering or similar roles.
Proficiency in Python, Scala, SQL, and scripting languages.
Experience with Big Data platforms such as Databricks, EMR, Hadoop.

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