Principal Data Seattle Salaries
65 verified profilesAverage Annual Total Compensation is $391k
Employees as Principal Data in Seattle earn an average of $391k, mostly ranging from $313k to $744k based on 65 profiles.
| 👨💻 Male | $367k Male Average Salary : $ 367 k |
|---|---|
| 👩💻 Female | $505k Female Average Salary : $ 505 k |
Similar Searches
100% real time & verified!
How much do Principal Data Seattle employees make?
Employees as Principal Data in Seattle earn an average of $391k, mostly ranging from $313k per year to $744k per year based on 65 profiles. The top 10% of employees earn more than $655k per year.
What is the average salary of Principal Data Seattle?
Average salary of an employee as Principal Data in Seattle is $391k.
What is the highest salary offered as Principal Data in Seattle?
Highest reported salary offered as Principal Data in Seattle is $776k. The top 10% of employees earn more than $655k per year. The top 1% earn more than a whopping $744k per year.
What are the most common skills required as Principal Data in Seattle?
3% of employees have skills in data analysis . 3% also know machine learning . 3% also know python .
What are the highest paying jobs as Principal Data in Seattle?
The top 5 highest paying jobs as Principal Data in Seattle with reported salaries are:
software engineer - $405k per year
data scientist - $394k per year
data science manager - $355k per year
What is the median salary offered as Principal Data in Seattle?
The median salary approximately calculated from salary profiles measured so far is $356k per year.
How is the age distributed among employees as Principal Data in Seattle?
2% of employees lie between 26-31 yrs . 2% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have as Principal Data in Seattle?
3% hold a Graduate degree. 2% hold a PhD degree.
Which schools do employees working as Principal Data in Seattle went to?
2% of employees studied at Birla Institute of Technology . 2% studied at Indian Institute of Science (IISc) .
How much do Principal Data Seattle employees make?
Employees as Principal Data in Seattle earn an average of $391k, mostly ranging from $313k per year to $744k per year based on 65 profiles. The top 10% of employees earn more than $655k per year.
What is the average salary of Principal Data Seattle?
Average salary of an employee as Principal Data in Seattle is $391k.
What is the highest salary offered as Principal Data in Seattle?
Highest reported salary offered as Principal Data in Seattle is $776k. The top 10% of employees earn more than $655k per year. The top 1% earn more than a whopping $744k per year.
What are the most common skills required as Principal Data in Seattle?
3% of employees have skills in data analysis . 3% also know machine learning . 3% also know python .
What are the highest paying jobs as Principal Data in Seattle?
The top 5 highest paying jobs as Principal Data in Seattle with reported salaries are:
software engineer - $405k per year
data scientist - $394k per year
data science manager - $355k per year
What is the median salary offered as Principal Data in Seattle?
The median salary approximately calculated from salary profiles measured so far is $356k per year.
How is the age distributed among employees as Principal Data in Seattle?
2% of employees lie between 26-31 yrs . 2% of the employees fall in the age group of 31-36 yrs .
What qualifications do employees have as Principal Data in Seattle?
3% hold a Graduate degree. 2% hold a PhD degree.
Which schools do employees working as Principal Data in Seattle went to?
2% of employees studied at Birla Institute of Technology . 2% studied at Indian Institute of Science (IISc) .
| < 100 k | < 100 k Percentage : 2 |
|---|---|
| 100-200 k | 100-200 k Percentage : 9 |
| 200-300 k | 200-300 k Percentage : 22 |
| 300-400 k | 300-400 k Percentage : 23 |
| 400-500 k | 400-500 k Percentage : 17 |
| > 500 k | > 500 k Percentage : 23 |
| 26-31 yrs | 26-31 yrs Percentage : 2 |
|---|---|
| 31-36 yrs | 31-36 yrs Percentage : 2 |
Browse by Titles
Software Engineer
Business Analyst
Product Manager
Engineering Manager
Program Manager
Data Scientist
Account Manager
UX Designer
DevOps Engineer
