As of April 01, 2025, the average annual salary for a Client/Server Programmer V in Nampa, ID is $123,940. According to Salary.com, salaries can range from a low of $109,868 to a high of $137,733, with most professionals earning between $116,574 and $131,160.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $142,519 | $11,877 | $2,741 | $69 |
| Average | $134,674 | $11,223 | $2,590 | $65 |
| 25th Percentile | $126,670 | $10,556 | $2,436 | $61 |
An entry-level Client/Server Programmer V with under 1 year experience makes about $120,972. With less than 2 years of experience, a mid-level Client/Server Programmer V makes around $121,522. After 2-4 years, the Client/Server Programmer V pay rises to about $121,742. Those senior Client/Server Programmer V with 5-8 years of experience earn roughly $122,841, and those Client/Server Programmer V having 8 years or more experience are expected to earn about $124,156 on average.
| Levels | Salary |
|---|---|
| Entry Level Client/Server Programmer V | $120,972 |
| Intermediate Level Client/Server Programmer V | $121,522 |
| Senior Level Client/Server Programmer V | $121,742 |
| Specialist Level Client/Server Programmer V | $122,841 |
| Expert Level Client/Server Programmer V | $124,156 |
| Entry Level | 10% |
| Mid Level | 10% |
| Senior Level | 10% |
| Top Level | 9% |
| Experienced | 8% |
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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.
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Data Modeling: Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques.
Data Cleansing: Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data. Data cleansing may be performed interactively with data wrangling tools, or as batch processing through scripting. After cleansing, a data set should be consistent with other similar data sets in the system. The inconsistencies detected or removed may have been originally caused by user entry errors, by corruption in transmission or storage, or by different data dictionary definitions of similar entities in different stores. Data cleaning differs from data validation in that validation almost invariably means data is rejected from the system at entry and is performed at the time of entry, rather than on batches of data.
| Skill | Salary | Demand |
|---|---|---|
|
Kaizen
|
$161,123 |
30%
|
|
Data Migration
|
$142,532 |
15%
|
|
Alignment
|
$140,053 |
13%
|
|
Program Management
|
$140,053 |
13%
|
|
Risk Management
|
$135,095 |
9%
|
|
Cybersecurity
|
$135,095 |
9%
|
