As of January 01, 2025, the average annual salary for an Expert Client/Server Programmer Team Lead in Dayton, OH is $126,830. Salary.com reports that pay typically ranges from $116,990 to $141,240, with most professionals earning between $108,031 and $154,360.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $141,240 | $11,770 | $2,716 | $68 |
| Average | $126,830 | $10,569 | $2,439 | $61 |
| 25th Percentile | $116,990 | $9,749 | $2,250 | $56 |
An entry-level Expert Client/Server Programmer Team Lead with under 1 year experience makes about $122,092. With less than 2 years of experience, a mid-level Expert Client/Server Programmer Team Lead makes around $122,822. After 2-4 years, the Expert Client/Server Programmer Team Lead pay rises to about $123,113. Those senior Expert Client/Server Programmer Team Lead with 5-8 years of experience earn roughly $124,573, and those Expert Client/Server Programmer Team Lead having 8 years or more experience are expected to earn about $126,459 on average.
| Levels | Salary |
|---|---|
| Entry Level Expert Client/Server Programmer Team Lead | $122,092 |
| Intermediate Level Expert Client/Server Programmer Team Lead | $122,822 |
| Senior Level Expert Client/Server Programmer Team Lead | $123,113 |
| Specialist Level Expert Client/Server Programmer Team Lead | $124,573 |
| Expert Level Expert Client/Server Programmer Team Lead | $126,459 |
| Entry Level | 4% |
| Mid Level | 3% |
| Senior Level | 3% |
| Top Level | 2% |
| Experienced | 0% |
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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
|
$164,879 |
30%
|
|
Data Migration
|
$145,855 |
15%
|
|
Alignment
|
$143,318 |
13%
|
|
Program Management
|
$143,318 |
13%
|
|
Risk Management
|
$138,245 |
9%
|
|
Cybersecurity
|
$138,245 |
9%
|
