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University of Washington Professional and Continuing Education
ETPL
We’ll explore the entire life cycle of database development for both on-premise and cloud operations, including defining business requirements, creating and automating the data pipeline, and building operational reports. You’ll understand how to develop and manage data integrations across various types of databases — relational and non-relational and on-premise and in the cloud. You’ll master the ETL (extract, transform, load) process of migrating data from one data structure to another. Finally, you’ll learn to use the assistance of AI tools to build dashboards and reports to monitor and fine-tune your data integration processes and track performance metrics.
Certification/license obtained as part of training program
N/A
Certification/license test preparation provided
N/A
Employment performance results
Program type
Data Modeling/Warehousing and Database Administration
Completion rate
73%
Employment rate
91%
Typical (median) hourly earnings
$58
Typical (median) annual earnings
$122,600
Top industries for graduates
Program type
Data Modeling/Warehousing and Database Administration
Other Industries
40%
Professional, Scientific, Technical Services
30%
Management of Companies
15%
Healthcare and Social Services
15%
Careers for graduates
Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.
Statewide earnings and employment trends for related jobs
Average number of students who completed each year
29
Gender
Male
54%
Female
46%
Race
American Indian or Alaska Native
0%
Asian
21%
Black or African American
7%
Hispanic
14%
Native Hawaiian or Other Pacific Islander
0%
White
57%
Multi-racial
0%
Other
0%
Age
Under 20
1%
20 to 29
20%
30 to 39
40%
40 to 49
25%
50 and over
14%
Prior education
Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.
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