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Gcp Data Engineer Jobs (NOW HIRING)

GCP Data Engineer

Minneapolis, MN ยท Remote

$117K - $140K/yr

GCP Data Engineer Location: Minneapolis, MN(Remote) โ€ข Design and deploy cloud-based infrastructure on Google Cloud Platform (GCP) using various services (e.g., Compute Engine, Kubernetes Engine ...

GCP Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

We are seeking a skilled GCP Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions on Google Cloud Platform. The ideal candidate will have strong experience ...

GCP Data Engineer

Irving, TX ยท On-site

$106K - $127K/yr

Abode TechZone, LLC is seeking an experienced GCP Data Engineer with strong expertise in Google Cloud Platform services. The ideal candidate will be responsible for designing, developing, and ...

GCP Data Engineer - (Subcontract at an NRI) Through NRI Resource Management Services (RMS), we offer custom talent solutions to help our clients meet their evolving technology and business needs. We ...

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA ยท On-site

$111K - $134K/yr

Local Candidate only, Alpharetta, GA Overview We are seeking a highly skilled Data Engineer / Cloud Data Solutions engineer with experience in Google Cloud Platform (GCP) to design, build, and ...

GCP Data Engineer

Austin, TX

$113K - $136K/yr

GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross-functional teams to ensure data integrity, reliability, and scalability. You need to have expertise in ...

GCP Data Engineer

Phoenix, AZ ยท On-site

$111K - $133K/yr

GCP AI Vertex Data Engineer Location: Phoenix, AZ / Scottsdale (day one onsite) Type: Contractor Pay - 70/hr JOB SUMMARY PRINCIPAL DUTIES GCP AI Vertex Data Engineer A solid experience and ...

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA ยท On-site

$111K - $134K/yr

Local Candidate only, Alpharetta, GA Overview We are seeking a highly skilled Data Engineer / Cloud Data Solutions engineer with experience in Google Cloud Platform (GCP) to design, build, and ...

GCP Data Engineer

$117K - $140K/yr

Data Engineer - GCP Location: 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 ...

GCP Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross-functional teams to ensure data integrity, reliability, and scalability. You need to have expertise in ...

GCP Data Engineer

Charlotte, NC ยท On-site

$111K - $134K/yr

Job Location Job is located in Charlotte, NC - Onsite Hybrid Day 1 GCP Python Lead Data Engineer We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and ...

GCP Data Engineer

New York, NY ยท On-site

$50 - $55/hr

GCP Certification (Professional Data Engineer required) * 5+ years in data engineering with strong Python and SQL skills * Deep experience with GCP: BigQuery, Dataflow, Pub/Sub, and Cloud Storage

GCP Data Engineer

$117K - $140K/yr

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 ...

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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 Jul 18, 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.

Is GCP Data Engineer in demand?

GCP Data Engineers are in high demand due to the increasing adoption of Google Cloud Platform for data processing and analytics. Organizations seek professionals skilled in cloud services, data pipelines, and tools like BigQuery and Dataflow to manage large-scale data workloads, making this a promising role with strong job growth prospects.

What is the salary of GCP Data Engineer?

The average salary for a GCP Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as Google Cloud Professional Data Engineer. Senior roles or those in high-demand areas may offer higher compensation. Skills in data pipeline development, cloud architecture, and SQL are often valued in salary considerations.

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.

Can I make 200K as a Data Engineer?

GCP Data Engineers with extensive experience, advanced skills in cloud platforms, and certifications such as Google Cloud Professional Data Engineer can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors like location, industry, company size, and individual expertise in tools like BigQuery, Dataflow, and machine learning. Entry-level or mid-tier Data Engineers typically earn less, with higher salaries reserved for those with specialized skills and years of experience.

What engineer makes $500,000 a year?

Highly experienced data engineers, including GCP Data Engineers with advanced skills in cloud platforms, big data tools, and certifications, can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles at large tech companies. Such compensation often includes bonuses, stock options, and other benefits.
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 July 2026, with employment types broken down into 100% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$105K - $126K/yr

Full-time

Re-posted 4 hours ago


Job description

Job Summary:
We are seeking a skilled GCP Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions on Google Cloud Platform. The ideal candidate will have strong experience with BigQuery, data ingestion, transformation, and cloud-native data architectures.
Key Responsibilities:
  • Design and build scalable ETL/ELT pipelines on GCP
  • Develop and optimize datasets in BigQuery for analytics and reporting
  • Work with Cloud Storage, Pub/Sub, Dataflow, and Composer (Airflow)
  • Implement data quality, monitoring, and governance best practices
  • Collaborate with analytics, BI, and application teams