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Data Engineer Google Jobs (NOW HIRING)

Texas State Library and Archives Commision

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 ...

Infinitive

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Preferred : • Advanced degree or relevant professional certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer, Azure Data Engineer Associate) Company

Infinitive Inc

Data Engineer

Decatur, GA · On-site

$111.80K - $134.20K/yr

Advanced degree or relevant professional certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer, Azure Data Engineer Associate) preferred. Infinitive is ...

New

SHI

OR

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 ...

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. The US base salary range for this ... Learn more about benefits at Google . Responsibilities * Complete all Test Design Rule Checks and ...

Google

Analog Design Engineer, Google Cloud

Sunnyvale, CA · On-site

$237.10K/yr

... data centers. * Ability to influence and drive technical strategy across large, cross-functional ... We empower Google customers with breakthrough capabilities and insights by delivering AI and ...

Analytic Services Inc

Data Engineer

Reston, VA · On-site

$119.10K - $143K/yr

Certification in Data Management or Cloud Architecture (e.g., AWS Certified Data Engineer, Google Professional Data Engineer). * Ability to communicate technical data management concepts clearly to ...

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 ...

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$44.5K

$129.7K

$177.5K

How much do data engineer google jobs pay per year?

As of Jun 1, 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 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.

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 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.

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 May 2026, with employment types broken down into 61% Full Time, and 39% Part Time. Highlights an 64% Physical, 1% Hybrid, and 35% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Google Cloud Platform (Google Cloud Platform) Data Engineer

Google Cloud Platform (Google Cloud Platform) Data Engineer

Scalable Systems

Denver, MO • Remote

$65/hr

Other

Posted 14 days ago

Job description

Scalable Systems is a USA based Big Data, Analytics and Digital Transformation company focused on vertical specific innovative solutions. By providing next generation technology solutions and services, we help organizations to identify risks & opportunities, achieve operational excellence and to gain an innovative edge.

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:

  1. Is BigQuery Online Transactional Processing (OLTP) or Online Analytical Processing (OLAP)? Why?
  2. What type of database is BigQuery Row-based or Columnar?
  3. What is the difference between Batch Load and Streaming Insert?
Scalable Systems is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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