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Gcp Data Engineer Jobs (NOW HIRING)

GCP Data Engineer

$117K - $140K/yr

Data engineer with GCP Location : Remote Skills:- * Experience working in GCP based Big Data deployments (Batch/Real-Time)Leveraging Big Query,Fusion, Dataflow, Dataproc, etc. * Demonstrated mastery ...

GCP Data Engineer (W2 Position)

Dearborn, MI · On-site

$105K - $126K/yr

GCP Data Engineer (W2 Position) Location : Dearborn, MI (Hybrid) Duration: 12+ Months Experience: 8+ Years Experience Required: * 8 years of professional experience in Data engineering, data product ...

We are seeking a skilled Data Engineer with hands-on experience in Databricks and Google Cloud Platform (GCP) to design, build, and optimize data pipelines and analytics solutions. The ideal ...

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first culture and mentor engineers. Skills Required * GCP Skills Preferred * Artificial Intelligence ...

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first culture and mentor engineers. Skills Required * GCP Skills Preferred * Artificial Intelligence ...

Sr GCP Data Engineer

Manhattan, NY · On-site

$117K - $158K/yr

Senior GCP Data Engineer Location: New York, Onsite. USC & GC only Key Responsibilities * Design, build, and optimize end-to-end data pipelines using GCP-native services such as Dataflow, Dataproc ...

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Role: GCP Data Engineer with Python Location: Dearborn, MI (4 days a week onsite) Job Type: Contract Experience: Overall 8 to 12 years Job Summary: * The Data Engineer will be responsible for ...

GCP Data Engineer

Dearborn, MI · On-site

$61 - $66/hr

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first culture and mentor engineers. Skills Required * GCP Skills Preferred * Artificial Intelligence ...

Requirement/Must Have: * 5+ years of data engineering experience with relevant GCP experience of 1+ year. * Experience in Data Engineering ETL Pipelines, Batch and Streaming along with SQL, Python ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

GCP Data Engineer Overview We are seeking a hands-on GCP Data Engineer to support the design, development, and maintenance of cloud-based data pipelines and data solutions. This role will focus on ...

Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first culture and mentor engineers. Skills Required * GCP Skills Preferred * Artificial Intelligence ...

GCP Data Engineer

Dallas, TX · On-site

$107K - $129K/yr

As a Data engineer (successfully lead the delivery of projects including end-to-end requirements ... Knowledge on building data pipelines leveraging GCP best methodologies * Strong understanding ...

GCP Data Engineer

$117K - $140K/yr

... a GCP Data Engineer • Experience building pipelines • Experience with API Development, pub sub, BigQuery, Cloudrun • Experience with modern programming languages like Java, Python, Ruby, etc ...

Senior GCP Data Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Senior GCP Data Engineer Job Location: Phoenix, AZ Job Type: Contract Data Engineering & Pipelines * Design and develop batch and streaming pipelines using Dataflow (Apache Beam) * Build real-time ...

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Gcp Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do gcp data engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for gcp 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 a GCP Data Engineer job?

A GCP Data Engineer is responsible for designing, building, and managing data processing systems on Google Cloud Platform. They work with tools like BigQuery, Dataflow, and Dataproc to process, store, and analyze large datasets efficiently. Their role involves optimizing data pipelines, ensuring data quality, and implementing security best practices. They also collaborate with data analysts and scientists to support business intelligence and machine learning initiatives.

What are the key skills and qualifications needed to thrive in the Gcp Data Engineer position, and why are they important?

To thrive as a GCP Data Engineer, you need strong skills in data engineering, programming (such as Python or Java), and experience with Google Cloud Platform services like BigQuery, Dataflow, and Cloud Storage, often backed by a relevant degree or certification. Familiarity with tools such as Terraform, Apache Beam, and GCP-specific certifications like Professional Data Engineer are highly valued. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills for this role. These competencies are crucial for building scalable data solutions, ensuring data quality, and collaborating effectively within cross-functional teams.

What types of projects or day-to-day tasks does a GCP Data Engineer typically work on?

As a GCP Data Engineer, you will design and implement data pipelines, process large datasets using GCP tools, and ensure data is available and accessible for analytics and business intelligence purposes. Your daily tasks might include creating ETL workflows, optimizing data warehouse performance, collaborating with data scientists, and troubleshooting data ingestion issues. Many teams operate in an agile environment, so you can expect regular interaction with product managers, analysts, and other engineers. This hands-on, collaborative nature of the role means you'll have opportunities to work on impactful projects that directly influence business decisions and gain exposure to cutting-edge cloud technologies.

What cities are hiring for Gcp Data Engineer jobs? Cities with the most Gcp Data Engineer job openings:
What are the most commonly searched types of Gcp Data Engineer jobs? The most popular types of Gcp Data Engineer jobs are:
What states have the most Gcp Data Engineer jobs? States with the most job openings for Gcp Data Engineer jobs include:
Infographic showing various Gcp Data Engineer job openings in the United States as of June 2026, with employment types broken down into 13% Full Time, 68% Part Time, 2% Temporary, and 17% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$135K - $162K/yr

Full-time

Posted 24 days ago


Job description

Hi,
Work Location: Santa Clara, CA (Resources to work from client location, no remote work)
Visa Type: Citizens/ GC
W2 Position
Data Engineer
We are looking for a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure that drives business intelligence, advanced analytics, and machine learning initiatives. You must be comfortable working autonomously, navigating complex challenges, and driving projects to successful completion in a dynamic cloud environment.
Core Responsibilities
  • Design and Optimization: Design, implement, and optimize clean, well-structured, and performant analytical datasets to support high-volume reporting, business analysis, and data science model development.
  • Pipeline Development: Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics
  • Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaming analytics.
  • Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.

Required Skills & Experience
  • Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically:
    • BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.
    • Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub
  • Programming & Querying:
    • Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries
    • SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.
  • Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).
  • DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.

Regards,
Surya
Email: surya@rurisoft.com