Google Cloud Platform (Google Cloud Platform) Data Engineer || Remote/Onsite || 14+ Years || $65/hr Please send your resume to Any Special Requests?: Must be able to work as an Independent Technical ...
Google Cloud Platform (Google Cloud Platform) Data Engineer || Remote/Onsite || 14+ Years || $65/hr Please send your resume to Any Special Requests?: Must be able to work as an Independent Technical ...
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Senior Data Engineer - Google Cloud (Remote, USA) We are looking for a Senior Data Engineer with strong hands-on experience in GCP , Cloud Composer , BigQuery , and Python . This is a fully remote US ...
GCP Data Engineer
$117.20K - $140.70K/yr
Senior Data Engineer - Google Cloud (Remote, USA) We are looking for a Senior Data Engineer with strong hands-on experience in GCP , Cloud Composer , BigQuery , and Python . This is a fully remote US ...
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Atlanta, GA ยท On-site
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Decatur, GA ยท On-site
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$120.40K - $144.50K/yr
Relevant certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer)
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Elk Grove, CA ยท On-site
$120.40K - $144.50K/yr
Relevant certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer)
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Relevant certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer)
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Senior Data Center Operations Engineer, Google Cloud
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Data Engineer Google information
See salary details
$44.5K - $56.6K
0% of jobs
$56.6K - $68.7K
1% of jobs
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3% of jobs
$80.8K - $92.9K
4% of jobs
$92.9K - $105K
7% of jobs
$115.5K is the 25th percentile. Wages below this are outliers.
$105K - $117K
11% of jobs
$117K - $129.1K
12% of jobs
The median wage is $132.4K / yr.
$129.1K - $141.2K
45% of jobs
$141.2K - $153.3K
8% of jobs
$153.3K - $165.4K
5% of jobs
$165.4K - $177.5K
3% of jobs
$44.5K
$129.7K
$177.5K
How much do data engineer google jobs pay per year?
What are the key skills and qualifications needed to thrive as a Data Engineer at Google, and why are they important?
How do Data Engineers at Google typically collaborate with data scientists and software engineers?
What does a Data Engineer at Google do?
What is the difference between Data Engineer Google vs Data Engineer Amazon?
| Aspect | Data Engineer Google | Data Engineer Amazon |
|---|---|---|
| Required Credentials | Bachelor's in CS or related, Google Cloud certifications often preferred | Bachelor's in CS or related, AWS certifications common |
| Work Environment | Google Cloud Platform, large-scale data systems, collaborative teams | AWS cloud services, large data pipelines, cross-functional teams |
| Employer & Industry Usage | Google, tech and internet services | Amazon, e-commerce and cloud services |
| Search & Comparison Intent | High overlap in cloud data engineering roles | Similar roles in cloud data engineering |
Both Data Engineer Google and Data Engineer Amazon roles require strong data processing skills, cloud platform knowledge, and relevant certifications. While Google emphasizes Google Cloud Platform expertise, Amazon focuses on AWS. Both roles are integral to their respective companies' data infrastructure, with similar work environments and industry usage, making them common comparison points for data engineering careers in cloud environments.

$65/hr
Other
Posted 14 days ago
Job description
Google Cloud Platform (Google Cloud Platform) Data Engineer || Remote/Onsite || 14+ Years || $65/hr
Please send your resume to
Any Special Requests?: Must be able to work as an Independent Technical Contributor and interface directly with clients at onsite locations. Experience with Netezza to Cloud migration is highly preferred.
Important Skill-Set, Technologies, Certifications, and Methodologies: Google Cloud Platform (Google Cloud Platform), Informatica Intelligent Cloud Services (IICS), BigQuery, SQL/PL-SQL, Python, Kubernetes, Docker, Bitbucket, Data Warehousing, and Scaled Agile Framework (SAFe).
About the Role: Seeking a highly experienced Senior Data Engineer/Integrator to manage complex data ecosystems. This role focuses on Data Migration, performance optimization of Analytical SQL, and maintaining robust Data Warehousing architectures using Google Cloud Platform and Informatica tools.
Key Responsibilities:
- Design and maintain complex SQL queries, Functions, and Procedures for performance improvements.
- Lead Data Migration projects, specifically moving legacy systems like Netezza to Cloud environments.
- Manage Informatica Workflows and cloud-based integrations.
- Execute containerized deployments using Kubernetes and Docker for structured and unstructured data.
- Troubleshoot complex data issues and provide technical guidance to team members and stakeholders.
- Operate within Scaled Agile Framework (SAFe) methodologies to ensure timely project delivery.
Essential Skills:
- Advanced SQL and PL/SQL expertise across multiple Relational Database Management Systems (RDBMS).
- Hands-on experience with Google Cloud Platform core services (specifically BigQuery and Spanner).
- Profound understanding of Data Warehouse Concepts and Software Development Life Cycle (SDLC) principles.
- Proficiency in Python and Unix Scripting for automation and data processing.
- Version control expertise using Bitbucket or similar tools.
Desirable Skills:
- Experience with Google Cloud Spanner.
- Familiarity with Java, Spring Boot, and Apache frameworks.
- Experience mentoring junior team members and leading technical queries for business customers.
Keywords in your resume: Google Cloud Platform Data Engineer, Google Cloud Platform, BigQuery, Informatica, IICS, SQL, PL/SQL, Python, Data Warehouse, ETL, Kubernetes, Docker, Netezza Migration, SAFe Agile, Bitbucket, Cloud Migration.
Pre-Screening Questions for Candidates:
- Is BigQuery Online Transactional Processing (OLTP) or Online Analytical Processing (OLAP)? Why?
- What type of database is BigQuery Row-based or Columnar?
- What is the difference between Batch Load and Streaming Insert?
About Scalable Systems
Sourced by ZipRecruiter
Industry
It services
Company size
201 - 500 Employees
Headquarters location
Piscataway, NJ, US
Year founded
2005