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Quality Assurance Automation Engineer Salary at Binary Semantics Inc BETA

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Paid Annually Paid Monthly Paid Semimonthly Paid Biweekly Paid Weekly Paid Hourly
25% $87,161 10% $76,723 90% $113,408 75% $106,398 $98,694 50%(Median)
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As of September 2026, the average salary for Quality Assurance Automation Engineer at Binary Semantics Inc in the United States is $98,694 per year, which is equivalent to an hourly rate of approximately $47. Most salaries for this position fall within the range of $87,161 to $106,398 annually.

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Key Skills & Their Impact on a Quality Assurance Automation Engineer at Binary Semantics Inc?

To succeed and maximize your earning potential as a Quality Assurance Automation Engineer at Binary Semantics Inc, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.

Skills Level of importance Description
Systems Engineering
Systems Engineering is a transdisciplinary and integrative approach to enable the successful realization, use, and retirement of engineered systems, using systems principles and concepts, and scientific, technological, and management methods.
Analysis
Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Troubleshooting
Troubleshooting is a form of problem solving, often applied to repair failed products or processes on a machine or a system.
Linux
Managing a system's hardware and resources using a Unix-like open-source operating system.
Networking
Ability to maintain, build and expand a personal and business contact list to grow one's career and business opportunities.
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Quality Assurance Automation Engineer Career Path and Growth Opportunities

Understanding the career path for a Quality Assurance Automation Engineer can help you plan long-term professional growth. Below is a typical career progression for a Quality Assurance Automation Engineer, highlighting common next-step roles and opportunities for increased responsibility and compensation.

Base Salary $82,736
Total Compensation $85,466
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Total Compensation $395,265
Base Salary $82,736
Total Compensation $85,466
Base Salary $103,266
Total Compensation $102,130
Base Salary $143,809
Total Compensation $175,702
Base Salary $82,736
Total Compensation $85,466
Base Salary $101,592
Total Compensation $98,303
Base Salary $117,847
Total Compensation $128,349
Base Salary $82,736
Total Compensation $85,466
Base Salary $96,099
Total Compensation $97,581
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Total Compensation $124,598

Binary Semantics Inc Overview

Website
www.binarysemantics.com
Founded In
Employees
3,000 - 7,500 employees
Industry
Software & Networking
Headquarter Address
7 State Rte 27 Edison New Jersey NJ 08820
Revenue
$1B - $3B
Phone Number
+1 7325489268
Social Media
About Binary Semantics Inc
Binary Semantics is a client-centric global software development company offering IT services, consulting services and knowledge services cutting across industry segments including automobiles, manufacturing, FMCG, technology, insurance, travel, hospitality and B2B publishing. Their global operations span across countries including the USA, Canada, Europe and India. Their clientele comprises over

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FAQ about Salary and Jobs at Binary Semantics Inc

FAQ 1: How much does Binary Semantics Inc pay per hour?
The average hourly pay is $47. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
FAQ 2: What is the highest salary at Binary Semantics Inc?
According to the data, the highest approximate salary is about $106,398 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
FAQ 3: What is the lowest pay at Binary Semantics Inc?
According to the data, the lowest estimated salary is about $87,161 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
FAQ 4: What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.

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