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Data Engineer Google Jobs (NOW HIRING)

Newt Global

Data Engineer - Google Cloud Platform

Dallas, TX · On-site

$113K - $136K/yr

Google Cloud Platform Cloud Data Engineer Irving, TX / Tampa, FL / Basking Ridge, NJ ( Hybrid Mode ) Long Term Contract W2 Contract / S Corp You'''''ll need to have: * Bachelor's degree or four or ...

SHI

Solutions Engineer - Google AI

Austin, TX

Job Summary The Solutions Engineer - Google AI collaborates with account and specialty teams to ... They will represent the Google AI portfolio (Gemini Enterprise, AI Applications, Vertex AI, Data ...

Google

DFT Engineer, Google Cloud

Sunnyvale, CA · On-site

... Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 ...

Tech Pro Inc.

Google Cloud Platform Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Google Cloud Platform Data Engineer Data Engineering: Advanced SQL, data modeling, ETL/ELT, batch & streaming pipelines Google Cloud Platform Expertise: BigQuery, Dataflow, GCS, Pub/Sub, Dataproc ...

New

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Google Cloud Professional Machine Learning Engineer Google Cloud Professional Data Engineer AWS Certified Machine Learning Specialty Certified Kubernetes Admin(CKA) Google Professional Cloud ...

Google

Platform Customer Engineer, Google Cloud

New York, NY · On-site

$61 - $81.50/hr

... modernization, data management, data analytics, cloud AI, networking, migrations, security ... Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud ...

Google

Software Engineer, Google Cloud Storage

Raleigh, NC · On-site

$58.25 - $75.75/hr

Google is bringing our cloud anywhere with Google Distributed Cloud (GDC) in your data center, at ... developers build more sustainably. Customers in more than 200 countries and territories turn to ...

Google

Senior Software Engineer, Google Cloud

Sunnyvale, CA · On-site

$143K - $189K/yr

... data structures/algorithms. * Experience in technical leadership, leading project teams, and ... About the job Google's software engineers develop the next-generation technologies that change how ...

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All JobsData Engineer Google Jobs

Data Engineer Google information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer google jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data engineer google 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 does a Data Engineer at Google do?

A Data Engineer at Google designs, builds, and manages systems that collect, store, and process large volumes of data. Their responsibilities include creating data pipelines, ensuring data quality, and optimizing data architectures to support analytics and machine learning initiatives. They work closely with data scientists, analysts, and other engineers to ensure that data is accessible, reliable, and efficiently processed for various business needs.

How do Data Engineers at Google typically collaborate with data scientists and software engineers?

At Google, Data Engineers work closely with both data scientists and software engineers to build robust, scalable data pipelines and infrastructure. Data Engineers are responsible for ensuring that data is clean, accessible, and optimized for analytics, often translating business needs into technical solutions. Regular collaboration happens through cross-functional meetings, design sessions, and code reviews, where Data Engineers provide expertise in data modeling, ETL processes, and system optimization. This collaborative environment promotes innovation, knowledge sharing, and the successful deployment of data-driven products.

What are the key skills and qualifications needed to thrive as a Data Engineer at Google, and why are they important?

To thrive as a Data Engineer at Google, you need strong programming skills (especially in Python, Java, or Scala), expertise in data modeling, and a solid understanding of distributed systems, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), BigQuery, SQL, Apache Spark, and relevant data engineering certifications is highly valued. Analytical thinking, effective communication, and problem-solving abilities are crucial soft skills for collaborating across teams and translating business requirements into technical solutions. These skills ensure the reliable design, optimization, and scalability of data systems critical to Google's innovation and decision-making.

What is the difference between Data Engineer Google vs Data Engineer Amazon?

AspectData Engineer GoogleData Engineer Amazon
Required CredentialsBachelor's in CS or related, Google Cloud certifications often preferredBachelor's in CS or related, AWS certifications common
Work EnvironmentGoogle Cloud Platform, large-scale data systems, collaborative teamsAWS cloud services, large data pipelines, cross-functional teams
Employer & Industry UsageGoogle, tech and internet servicesAmazon, e-commerce and cloud services
Search & Comparison IntentHigh overlap in cloud data engineering rolesSimilar 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.

More about Data Engineer Google jobs
What cities are hiring for Data Engineer Google jobs? Cities with the most Data Engineer Google job openings:
What states have the most Data Engineer Google jobs? States with the most job openings for Data Engineer Google jobs include:
What job categories do people searching Data Engineer Google jobs look for? The top searched job categories for Data Engineer Google jobs are:
Data Engineer Google jobs near you
Infographic showing various Data Engineer Google job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

GCP Data Engineer

Texas State Library and Archives Commision

Remote

$117K - $140K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

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 role.
Key Responsibilities
  • Build and maintain scalable data pipelines using Cloud Composer (Airflow)
  • Develop high-performance data solutions in BigQuery
  • Write optimized Python code for data processing and automation
  • Support ETL/ELT workflows and ensure data quality
  • Collaborate with cross-functional teams to deliver cloud data solutions
Requirements
  • 7+ years of data engineering experience
  • Strong expertise in GCP, Composer, BigQuery, Python
  • Experience building large-scale data pipelines
Nice to Have
  • Snowflake experience
  • Matillion experience
Location
  • Remote, USA (must be authorized to work in the U.S.)

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