

Vertisystem
Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a W2 contract for "X" months, offering a pay rate of "Y" per hour. Key skills include ETL, Data Engineering, and Scala. Industry experience in data management is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
800
-
ποΈ - Date
October 17, 2025
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Menlo Park, CA
-
π§ - Skills detailed
#Data Architecture #Data Management #Scala #Data Engineering #"ETL (Extract #Transform #Load)" #SharePoint
Role description
Only W2 Candidate required:
Summary:
The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organizationβs data assets.
Job Responsibilities:
β’ Manage data engineering projects through the full cycle.
β’ Identify and underline business initiatives from a data engineering perspective
β’ Design, construct, install, test and maintain highly scalable data management systems.
β’ Ensure systems meet business requirements and industry practices.
β’ Design, implement, automate and maintain large scale enterprise data ETL processes.
β’ Build high-performance algorithms, prototypes, predictive models and proof of concepts.
Skills:
β’ Ability to work as part of a team, as well as work independently or with minimal direction.
β’ Excellent written, presentation, and verbal communication skills.
β’ Collaborate with data architects, modelers and IT team members on project goals.
β’ Strong PC skills including knowledge of Microsoft SharePoint.
Only W2 Candidate required:
Summary:
The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organizationβs data assets.
Job Responsibilities:
β’ Manage data engineering projects through the full cycle.
β’ Identify and underline business initiatives from a data engineering perspective
β’ Design, construct, install, test and maintain highly scalable data management systems.
β’ Ensure systems meet business requirements and industry practices.
β’ Design, implement, automate and maintain large scale enterprise data ETL processes.
β’ Build high-performance algorithms, prototypes, predictive models and proof of concepts.
Skills:
β’ Ability to work as part of a team, as well as work independently or with minimal direction.
β’ Excellent written, presentation, and verbal communication skills.
β’ Collaborate with data architects, modelers and IT team members on project goals.
β’ Strong PC skills including knowledge of Microsoft SharePoint.