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Google Cloud Data Engineer Jobs (NOW HIRING)

SWITS DIGITAL Private Limited

GCP Data Engineer

$117K - $140K/yr

Denver, CO (Remote) Only W2 Candidates Mandatory Skills - GCP - Java - Medalion Job Summary We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern ...

SWITS DIGITAL Private Limited

GCP Data Engineer

$117K - $140K/yr

Denver, CO (Remote) Only W2 Candidates Job Summary We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate ...

InterSources Inc

STL BIG DATA

Atlanta, GA · On-site

They are seeking a Lead Data Engineer to design, build, and operationalize large-scale enterprise data solutions using Google Cloud Platform and various data analytics services. Responsibilities ...

Judge Group, Inc.

Specialty Software Engineer

Phoenix, AZ · On-site

$76 - $81/hr

The ideal candidate has deep expertise in Google Cloud Platform (Google Cloud Platform), big data technologies, streaming frameworks, and modern data engineering practices , along with a strong track ...

Deloitte

GCP Cloud Analytics Engineer

Minneapolis, MN · On-site

$58.25 - $77.75/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

Deloitte

GCP Cloud Analytics Engineer

Saint Louis, MO · On-site

$54.25 - $72.50/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

Deloitte

GCP Cloud Analytics Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

Deloitte

GCP Cloud Analytics Engineer

San Francisco, CA · On-site

$65.75 - $87.75/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

Deloitte

GCP Cloud Analytics Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

Deloitte

GCP Cloud Analytics Engineer

Houston, TX · On-site

$53.25 - $71.25/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

Themesoft Inc

Data Engineer

Chandler, IN · On-site

$100 - $125/hr

* Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest ... data engineering including hands-on experience working with Cloud data solutions: creating ...

Deloitte

GCP Cloud Analytics Engineer

New York, NY · On-site

$61 - $81.50/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

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Showing results 41-60

All JobsGoogle Cloud Data Engineer Jobs

Google Cloud Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do google cloud data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for google cloud data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Google Cloud Data Engineer vs Data Analyst?

AspectGoogle Cloud Data EngineerData Analyst
Required CertificationsGoogle Cloud Professional Data EngineerNone specific, often SQL or Excel certifications
Work EnvironmentCloud platforms, big data tools, programmingData visualization, reporting, SQL queries
Employer & Industry UsageTech, finance, healthcare using cloud data solutionsBusiness, marketing, finance analyzing data trends
Common Search & Comparison IntentUnderstanding cloud data roles, certifications, skillsData analysis tools, skills, career path

The main difference is that Google Cloud Data Engineers focus on designing, building, and maintaining data pipelines and infrastructure on Google Cloud, requiring cloud-specific skills and certifications. Data Analysts primarily interpret data through queries and visualization tools, often working with existing datasets without deep cloud infrastructure knowledge. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What cities are hiring for Google Cloud Data Engineer jobs?

Cities with the most Google Cloud Data Engineer job openings:

What states have the most Google Cloud Data Engineer jobs?

States with the most job openings for Google Cloud Data Engineer jobs include:

What are popular job titles related to Google Cloud Data Engineer jobs?

For Google Cloud Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Google Cloud Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

GCP Data Engineer

Remote

SWITS DIGITAL Private Limited
See more jobs at SWITS DIGITAL Private Limitedexternal

$117K - $140K/yr

Full-time

Re-posted 8 days ago

Job description

Greetings from Smart Work IT Services,
Role: Data Engineer
Location: Denver, CO (Remote)
Only W2 Candidates
Mandatory Skills - GCP - Java - Medalion
Job Summary
We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.
This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.
Key Responsibilities
  • Design, develop, and maintain scalable batch and real-time data pipelines on GCP
  • Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing
  • Build high-performance data transformations using Python and PySpark
  • Develop and optimize complex SQL queries for analytical workloads
  • Work extensively with BigQuery for large-scale data processing and performance tuning
  • Develop and deploy pipelines using Cloud Dataflow
  • Orchestrate workflows using Cloud Composer (Apache Airflow)
  • Manage data storage and lifecycle using Google Cloud Storage (GCS)
  • Implement version control and CI/CD pipelines using Git-based tools
  • Ensure data security, governance, and access control using GCP IAM
  • Optimize data solutions for performance, scalability, reliability, and cost-efficiency

Required Skills & Experience
  • Strong hands-on experience with Google Cloud Platform (GCP)
  • Expertise in BigQuery (partitioning, clustering, query optimization)
  • Proven experience implementing Medallion Data Architecture
  • Strong programming skills in Python and PySpark
  • Advanced proficiency in SQL (complex joins, window functions, performance tuning)
  • Hands-on experience with Cloud Dataflow
  • Experience with Cloud Composer (Airflow) for orchestration
  • Experience working with Google Cloud Storage (GCS)
  • Knowledge of version control systems (Git) and CI/CD practices
  • Strong understanding of GCP IAM and cloud security best practices

Preferred Qualifications
  • Experience working with large-scale enterprise data platforms
  • Knowledge of data warehousing and data lake concepts
  • Familiarity with real-time streaming frameworks
  • Experience in data governance and data quality frameworks

Exposure to Agile/Scrum methodologies

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