Conducts performance analysis, testing, monitoring and software assessments of networking protocol ... for network stack protocol software used to securely exchange data between systems. • ...
Conducts performance analysis, testing, monitoring and software assessments of networking protocol ... for network stack protocol software used to securely exchange data between systems. • ...
Stack Emissions Testing information
See Oklahoma salary details
$41.1K - $53.3K
1% of jobs
$53.3K - $65.6K
3% of jobs
$65.6K - $77.9K
4% of jobs
$77.9K - $90.1K
5% of jobs
$90.1K - $102.4K
11% of jobs
$103K is the 25th percentile. Wages below this are outliers.
$102.4K - $114.6K
15% of jobs
The median wage is $122.7K / yr.
$114.6K - $126.9K
17% of jobs
$126.9K - $139.1K
17% of jobs
$141.4K is the 75th percentile. Wages above this are outliers.
$139.1K - $151.4K
13% of jobs
$151.4K - $163.6K
9% of jobs
$163.6K - $175.9K
5% of jobs
$41.1K
$124.4K
$175.9K
How much do stack emissions testing jobs pay per year?
What are some typical challenges faced in stack emissions testing roles, and how can they be managed?
Stack emissions testing professionals often encounter challenges such as working at heights, operating in harsh weather conditions, and adhering to strict regulatory standards. Managing these difficulties requires a strong focus on safety procedures, consistent use of personal protective equipment (PPE), and staying current with industry regulations and best practices. Additionally, troubleshooting equipment malfunctions and handling time-sensitive projects are common, so adaptability and effective problem-solving skills are valuable assets. Regular training and team collaboration can also help mitigate these challenges and ensure high-quality, reliable test results.
What is a Stack Emissions Testing job?
A Stack Emissions Testing job involves measuring and analyzing pollutants released from industrial stacks or chimneys to ensure compliance with environmental regulations. Professionals in this role collect air samples, operate testing equipment, and generate reports on emission levels. They work in various industries, such as manufacturing, power plants, and refineries, to help minimize environmental impact. Strong attention to detail, knowledge of regulatory standards, and fieldwork experience are essential skills for this job.
What are the key skills and qualifications needed to thrive in the Stack Emissions Testing position, and why are they important?
To thrive in Stack Emissions Testing, you need a solid background in environmental science or engineering, combined with knowledge of emissions measurement protocols and relevant regulations. Familiarity with specialized stack sampling equipment, gas analyzers, and certifications such as EPA Method 5 or related accreditation is often required. Attention to detail, effective communication, and the ability to work safely in industrial environments are standout soft skills. These abilities are crucial for ensuring accurate data collection, regulatory compliance, and smooth collaboration with facility personnel.

Contractor
Posted 17 days ago
Job description
•Assists with the design, development, architecture, and maintenance of software solutions for network stack protocol software used to securely exchange data between systems.
• Participates in performance analysis, testing, monitoring and software assessments of networking protocol software to assess, identify and address risks, weaknesses and vulnerabilities.
• Gathers information to provide input on secure network and protocols throughout the end-to-end lifecycle development of software products.
• Gathers information to support software project management activities and software supplier management functions. Basic Qualifications (Required Skills/Experience):
• Bachelor’s Degree in an engineering discipline experience and 5 years related relevant work experience
• Experience in Linux deployment and administration including bash scripting, remote access, and deployment
• Experience in Basic networking, storage administration, and package management
• Experience in Basic virtualization principles
• Experience in Containerization, and Kubernetes familiarity Preferred Qualifications (Desired Skills/Experience):
• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
• Knowledge of communications and network concepts and principles. Knowledge of antenna and aperture characteristics for application to communications and network system designs. Knowledge of communications and network system design from architecture development to component design. Knowledge of associated technology and methods. Knowledge of secure communications. Knowledge of methods to ensure communication system survivability. Knowledge of communications and network system power system requirements. Knowledge of radio frequency compatibility. Knowledge of multi-discipline integrating issues applicable to communications and network systems, including primary characteristics such as physical and functional interfaces, communications reliability, link availability, and environmental constraints. Additional characteristics include: human factors, maintainability, testability, supportability, mechanical design, packaging, electrical, and software.
• Knowledge of and the ability to apply communications and network systems regulatory requirements (e.g., Federal Aviation Agency [FAA] regulations, Military Specifications, National Telecommunications and Information Administration (NTIA), Federal Communications Commission [FCC] regulations) and standards (e.g., safety, military, emissions, Institute of Electrical and Electronics Engineering [IEEE], ARINC, Engineering International Association [EIA], International Civil Air Organization [ICAO], International Standards Organization, International Telecommunications Union [ITU], American National Standards Institute [ANSI], Society of Automotive Engineers [SAE]). • Ability to identify susceptibility, survivability, and vulnerability (S/V) of the systems, subsystems and delivery mechanisms, based on the knowledge of characteristics and capabilities of threats (e.g. protocol exploits, identity spoofing, malware injection techniques, application layer vulnerabilities).
• Knowledge of software programming languages and databases and the ability to apply to the software domain. Programming languages encompass higher order languages, auto-coded languages and assembly languages.
• Knowledge of the practical application of network technologies. Ability to solve difficult network problems like Quality of Service, multi-level security, network protocol conversion, network management problems and application optimization.
• Ability to innovate in the area of new network systems modeling, simulation, and emulation. Knowledge of programming languages used in modeling, simulation and emulation. Knowledge of software development and testing tools (e.g. desktop simulation tools, configuration management tools, requirements management tools). Knowledge of computer hardware design and operating systems as it relates to modeling, simulation and emulation.
• Knowledge of programming languages used for networking problems. Knowledge of computing equipment and multiple operating systems. Knowledge of communications, networking protocols. Knowledge of software development and testing tools capability and usage. Ability to integrate hardware and software components into a functional system.
• Knowledge of domains, characteristics, constraints and products that require real-time software and influence architecture, requirements, interfaces, designs, and integration/test approaches. Real-time domain examples include control systems, human interfaces and signal processing. Examples of characteristics and constraints that impact real-time software include hardware/software timing, sizing, bandwidth, optimization and synchronization. Examples of products include aircraft, missiles, airborne/shipboard/space systems/ground-based operational systems and real-time support systems such as simulators and training systems.
• Knowledge of how to derive and allocate requirements (e.g., system, sub-system, software) and show traceability throughout the product lifecycle.
• Knowledge of software architecture and design methodologies. Ability to synthesize software architectures and designs that meet requirements, characteristics and constraints.