

CLPS Global
AWS Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer in Bay Area, CA, with a contract length of "unknown." The pay rate is "unknown." Requires 8+ years of Data Engineering experience, strong AWS skills, Python, SQL, and Agile/Scrum experience.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
February 21, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
San Francisco Bay Area
-
π§ - Skills detailed
#Data Warehouse #Snowflake #Cloud #Data Modeling #Data Lake #Consulting #AWS Glue #Lambda (AWS Lambda) #Agile #S3 (Amazon Simple Storage Service) #Python #SQL (Structured Query Language) #AI (Artificial Intelligence) #Scrum #Big Data #AWS Lambda #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Data Processing #Data Engineering
Role description
Job Summary
Weβre looking for a AWS Data Engineer to support our team in Bay Area, CA. This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company. If youβre someone who takes initiative, values continuous learning, and thrives in a collaborative setting, weβd love to hear from you.
Key Responsibilities
8+ years of Data Engineering / Data Warehouse development experience
Strong hands-on experience building and managing AWS Data Lake environments
Amazon S3, AWS Glue (ETL jobs), AWS Lambda
Python for data processing and transformations
Strong SQL skills
ETL/ELT pipeline development from multiple source systems into Data Lake
Dimensional data modeling (star/snowflake)
Performance tuning and optimization
Experience integrating multiple enterprise source systems
Experience in Agile/Scrum environments
About CLPS
CLPS Incorporation (NASDAQ: CLPS) is a global technology and consulting firm specializing in end-to-end digital transformation solutions. Since our founding in 2005, weβve expanded our footprint across 10 countries, with regional hubs in China, Singapore, and the United States, and our headquarters in Hong Kong. Leveraging advanced technologies such as AI, cloud computing, and big data, we deliver innovative services across key sectors including fintech, payments, e-commerce, education, and travel tech. Our mission is to empower businesses to become intelligent, data-driven enterprises. Join CLPS and be part of an innovative, fast-growing team shaping the future of technology across industries.
Job Summary
Weβre looking for a AWS Data Engineer to support our team in Bay Area, CA. This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company. If youβre someone who takes initiative, values continuous learning, and thrives in a collaborative setting, weβd love to hear from you.
Key Responsibilities
8+ years of Data Engineering / Data Warehouse development experience
Strong hands-on experience building and managing AWS Data Lake environments
Amazon S3, AWS Glue (ETL jobs), AWS Lambda
Python for data processing and transformations
Strong SQL skills
ETL/ELT pipeline development from multiple source systems into Data Lake
Dimensional data modeling (star/snowflake)
Performance tuning and optimization
Experience integrating multiple enterprise source systems
Experience in Agile/Scrum environments
About CLPS
CLPS Incorporation (NASDAQ: CLPS) is a global technology and consulting firm specializing in end-to-end digital transformation solutions. Since our founding in 2005, weβve expanded our footprint across 10 countries, with regional hubs in China, Singapore, and the United States, and our headquarters in Hong Kong. Leveraging advanced technologies such as AI, cloud computing, and big data, we deliver innovative services across key sectors including fintech, payments, e-commerce, education, and travel tech. Our mission is to empower businesses to become intelligent, data-driven enterprises. Join CLPS and be part of an innovative, fast-growing team shaping the future of technology across industries.






