

Veritis Group Inc
Data Engineer - GCP- W2
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer - GCP with a contract length of "unknown" and a pay rate of "unknown." It requires 7+ years of experience, strong GCP expertise, proficiency in Python and PySpark, and familiarity with orchestration tools. GCP certification is preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
October 16, 2025
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#PySpark #Dataflow #GCP (Google Cloud Platform) #Airflow #Version Control #Data Warehouse #BigQuery #Cloud #Scripting #Spark (Apache Spark) #Python #Data Processing #Data Engineering #"ETL (Extract #Transform #Load)" #Storage #Data Modeling #GIT
Role description
Data Engineer - GCP- W2
Remote
Contract
Required Qualifications:
7+ years of professional experience in Data Engineering or a related field.
Strong expertise in Google Cloud Platform (GCP) services, especially BigQuery, Dataflow, and Cloud Storage.
Proficiency in Python for data processing and scripting.
Hands-on experience with PySpark for distributed data processing.
Strong understanding of data warehouse concepts, ETL/ELT processes, and data modeling.
Experience with version control (e.g., Git) and CI/CD practices.
Familiarity with orchestration tools (e.g., Airflow, Cloud Composer).
Excellent problem-solving skills and the ability to work independently and collaboratively.
Preferred Qualifications:
GCP certification (e.g., Professional Data Engineer).
Thanks,
Vikas.
vikas.adella@veritis.com
Data Engineer - GCP- W2
Remote
Contract
Required Qualifications:
7+ years of professional experience in Data Engineering or a related field.
Strong expertise in Google Cloud Platform (GCP) services, especially BigQuery, Dataflow, and Cloud Storage.
Proficiency in Python for data processing and scripting.
Hands-on experience with PySpark for distributed data processing.
Strong understanding of data warehouse concepts, ETL/ELT processes, and data modeling.
Experience with version control (e.g., Git) and CI/CD practices.
Familiarity with orchestration tools (e.g., Airflow, Cloud Composer).
Excellent problem-solving skills and the ability to work independently and collaboratively.
Preferred Qualifications:
GCP certification (e.g., Professional Data Engineer).
Thanks,
Vikas.
vikas.adella@veritis.com