As of March 01, 2025, the average annual salary for an Aerospace Engineer II in Lake Charles, LA is $89,669. Salary.com reports that pay typically ranges from $82,896 to $97,046, with most professionals earning between $76,730 and $103,762.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $104,801 | $8,733 | $2,015 | $50 |
| Average | $96,835 | $8,070 | $1,862 | $47 |
| 25th Percentile | $89,521 | $7,460 | $1,722 | $43 |
An entry-level Aerospace Engineer II with under 1 year experience makes about $86,307. With less than 2 years of experience, a mid-level Aerospace Engineer II makes around $86,506. After 2-4 years, the Aerospace Engineer II pay rises to about $89,048. Those senior Aerospace Engineer II with 5-8 years of experience earn roughly $92,089, and those Aerospace Engineer II having 8 years or more experience are expected to earn about $92,306 on average.
| Levels | Salary |
|---|---|
| Entry Level Aerospace Engineer II | $86,307 |
| Intermediate Level Aerospace Engineer II | $86,506 |
| Senior Level Aerospace Engineer II | $89,048 |
| Specialist Level Aerospace Engineer II | $92,089 |
| Expert Level Aerospace Engineer II | $92,306 |
| Entry Level | 11% |
| Mid Level | 11% |
| Senior Level | 8% |
| Top Level | 5% |
| Experienced | 5% |
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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.
Performance Review: Assessing employee performance and identifying strengths and weaknesses to promote communication and provide constructive performance feedback.
Business Intelligence: Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.
| Skill | Salary | Demand |
|---|---|---|
|
Resilience
|
$102,223 |
14%
|
|
Agile
|
$95,946 |
7%
|
|
Technical Support
|
$94,152 |
5%
|
|
Business Intelligence
|
$94,152 |
5%
|
|
Systems Engineering
|
$93,256 |
4%
|
|
Organizing
|
$93,256 |
4%
|
