1. What is the average salary of an Integration Engineer I?
The average annual salary of Integration Engineer I is $77,908.
In case you are finding an easy salary calculator,
the average hourly pay of Integration Engineer I is $37;
the average weekly pay of Integration Engineer I is $1,498;
the average monthly pay of Integration Engineer I is $6,492.
2. Where can an Integration Engineer I earn the most?
An Integration Engineer I's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer.
According to the latest salary data by Salary.com, an Integration Engineer I earns the most in San Jose, CA, where the annual salary of an Integration Engineer I is $98,265.
3. What is the highest pay for Integration Engineer I?
The highest pay for Integration Engineer I is $90,190.
4. What is the lowest pay for Integration Engineer I?
The lowest pay for Integration Engineer I is $64,237.
5. What are the responsibilities of Integration Engineer I?
Develops and implements solutions integrating applications across the enterprise or its units/departments. Evaluates existing components or systems to determine integration requirements and to ensure final solutions meet organizational needs. Requires C++ or Java; XML; EDI or OBI; Oracle or Microsoft SQL. Typically requires a bachelor's degree. Typically reports to a manager. Works on projects/matters of limited complexity in a support role. Work is closely managed. Typically requires 0-2 years of related experience.
6. What are the skills of Integration Engineer I
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
1.)
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
2.)
Data Integration: Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users.
3.)
SOAP: SOAP (Simple Object Access Protocol) is a message protocol that enables the distributed elements of an application to communicate.