Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
Yesterday
SQLETLPython
Job Description
Start/End Dates: 11/16/2026 - 5/15/2027
Tax Work Location: US - CA - Remote
Job Title: Data Analytics & Engineering - Data Engineer II
Job Description: 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.
Years of overall experience required?
3+ YoE in Data Engineering
Must-Have Skills
SQL
Python
Experience building ETL pipelines
Volunteer work or internship with a law firm or worked in privacy
Experience with remediating data loss
Job Responsibilities:
• 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.
Education/Experience:
• Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
• Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.
Tax Work Location: US - CA - Remote
Job Title: Data Analytics & Engineering - Data Engineer II
Job Description: 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.
Years of overall experience required?
3+ YoE in Data Engineering
Must-Have Skills
SQL
Python
Experience building ETL pipelines
Volunteer work or internship with a law firm or worked in privacy
Experience with remediating data loss
Job Responsibilities:
• 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.
Education/Experience:
• Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
• Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.
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