GCP Data Engineer
Job
OREGON EMPLOYMENT DEPARTMENT
Remote
Part-Time
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Job Description
Job Listing ID:
4475525Job Title:
GCP Data Engineer Application Deadline:
Open Until FilledJob Location:
SalemDate Posted:
04/18/2026Hours Worked Per Week:
Not Provided Shift:
Not Provided Duration of Job:
Either Full or Part Time, more than 6 months You may contact this employer directly. (Obtain the contact information to print or add to your jobs.)Job Summary:
GCP Data Engineer Anywhere Type:
Contract Category:
Data Industry:
Retail Workplace Type:
Remote Reference ID:
JN- 042026-106374
Date Posted:
04/13/2026Shortcut:
http://careers.eliassen.com/1pG5atDescription Recommended Jobs Description:
Our client, a leader in their industry, has an excellent opportunity for a GCP Data Engineer to work on a 12+ month contract position working 100% remote (EST). Due to client requirement, applicants must be willing and able to work on a W2 basis. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.Responsibilities:
- Design, build, and operate scalable data platforms and data products within the Enterprise Data Warehouse (EDW).
- Develop and maintain core data domains, curated datasets, and semantic layers for downstream analytics consumers.
- Partner with engineering teams to implement architectural patterns, support platform modernization, and improve data reliability.
- Provide hands-on technical leadership through collaboration, code reviews, and complex backend data engineering work.
- Drive performance, cost optimization, scalability, and analytical accuracy across the EDW ecosystem.
Experience Requirements:
- 3+ years of experience in backend data engineering or analytics platform engineering.
- Must have hands-on experience working within GCP environments.
- Strong hands-on experience with cloud data warehouses, with BigQuery required.
- Advanced SQL expertise and strong working knowledge of Python.
- Proven experience designing enterprise-grade data models, including curated or ADS datasets.
- Experience with CI/CD and orchestration tools such as Jenkins and Airflow.
Preferred Skills:
- Experience with universal or shared semantic modeling across multiple domains or products.
- Strong understanding of performance tuning, resilience, scalability, and cost optimization in large data environments.
- Ability to work across teams and influence architectural decisions without direct authority.
- Exposure to Dataform and Vertex AI is a plus.
Education Requirements:
Bachelor's degree or equivalent work experience #LI-JS1 Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( noreply@eliassen.com , 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI ...Job Classification:
Computer Occupations, All Other Access our statewide or regional occupation report for more information about wages, employment outlooks, skills, training programs, related occupations, and more. CompensationSalary:
Not Provided Job RequirementsExperience Required:
See Job SummaryEducation Required:
NoneMinimum Age:
N/A Gender:
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