Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
Yesterday
ETLHivePython
Job Description
Start/End Dates: 11/23/2026 - 1/31/2027
Tax Work Location: US - CA - Bay Area - Remote
Job Title: Data Analytics & Engineering - Data Engineer V
10 or more years of experience
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 organization's data assets.
Must-Have HARD Skills
Python
Hive
ETL pipelines
Communication skills
Proactive working
Job Responsibilities:
• Manage data engineering projects through the full cycle.
• Identify and underline business initiatives from a data engineering perspective • Design, construct, install, test and maintain highly scalable data management systems.
• Ensure systems meet business requirements and industry practices.
• Design, implement, automate and maintain large scale enterprise data ETL processes.
• Build high-performance algorithms, prototypes, predictive models and proof of concepts.
Skills:
• Ability to work as part of a team, as well as work independently or with minimal direction.
• Excellent written, presentation, and verbal communication skills.
• Collaborate with data architects, modelers and IT team members on project goals.
• Strong PC skills including knowledge of Microsoft SharePoint.
• Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.
Tax Work Location: US - CA - Bay Area - Remote
Job Title: Data Analytics & Engineering - Data Engineer V
10 or more years of experience
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 organization's data assets.
Must-Have HARD Skills
Python
Hive
ETL pipelines
Communication skills
Proactive working
Job Responsibilities:
• Manage data engineering projects through the full cycle.
• Identify and underline business initiatives from a data engineering perspective • Design, construct, install, test and maintain highly scalable data management systems.
• Ensure systems meet business requirements and industry practices.
• Design, implement, automate and maintain large scale enterprise data ETL processes.
• Build high-performance algorithms, prototypes, predictive models and proof of concepts.
Skills:
• Ability to work as part of a team, as well as work independently or with minimal direction.
• Excellent written, presentation, and verbal communication skills.
• Collaborate with data architects, modelers and IT team members on project goals.
• Strong PC skills including knowledge of Microsoft SharePoint.
• Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.
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