1

Data Engineer Gcp Data Engineer Jobs (NOW HIRING)

Data Engineer - GCP

Charlotte, NC · On-site

$111K - $134K/yr

Euclid Innovations is seeking a Data Engineer with expertise in Google Cloud Platform. The role ... GCP (BigQuery, Dataflow, Dataproc) On-prem platforms (DPC) • Ensure data quality, validation, and ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

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 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

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

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

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

GCP Data Engineer

New York, NY · Remote

$117K - $140K/yr

Design, develop, and optimize scalable data pipelines and ETL/ELT workflows using GCP technologies, Apache Beam, Airflow, Python, and SQL. * Lead technical decision-making, establish engineering best ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Client is seeking a Data Engineer with hands-on experience building Data Lake in Google Cloud ... Experience building both batch and streaming ingestion pipelines using GCP-native services.

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

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 ...

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 ...

Senior Data Engineer (GCP) - Location: Bentonville, AR or Sunnyvale, CA (Day 1 onsite) - Citizenship: US Citizen only - Experience: 12+ years overall; 4+ years recent GCP - Rate: $60/hr on C2C ...

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 ...

GCP Data Engineer

Hartford, CT · Hybrid

$115K - $138K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Build scalable, production-ready data pipelines and orchestration workflows on GCP. * Develop ...

Showing results 41-60

Data Engineer Gcp Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer gcp data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data engineer 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?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What cities are hiring for Data Engineer Gcp Data Engineer jobs?

Cities with the most Data Engineer Gcp Data Engineer job openings:

What states have the most Data Engineer Gcp Data Engineer jobs?

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

What job categories do people searching Data Engineer Gcp Data Engineer jobs look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs are:

Infographic showing various Data Engineer Gcp Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer - GCP

Euclid Innovations

Charlotte, NC • On-site

$111K - $134K/yr

Full-time

Re-posted yesterday


Job description

Job Summary:
Euclid Innovations is seeking a Data Engineer with expertise in Google Cloud Platform. The role involves designing and building scalable ETL/data pipelines, ensuring data quality, and collaborating with data science teams to support predictive model pipelines.
Responsibilities:
• Design and build scalable ETL/data pipelines using Spark and Python
• Develop data workflows to ingest, transform, and move large datasets
• Implement data routing logic to direct data to: GCP (BigQuery, Dataflow, Dataproc) On-prem platforms (DPC)
• Ensure data quality, validation, and reconciliation across systems
• Collaborate with data science and platform teams to support predictive model pipelines
• Optimize performance and scalability for high-volume data processing
Qualifications:
Required:
• Strong hands-on experience with Apache Spark / PySpark for large-scale data processing
• Proficiency in Python for data engineering (ETL pipelines)
• Experience designing and developing data pipelines / data engineering workflows
• Solid background in ETL, data ingestion, transformation, and data movement
• Experience working with big data technologies and handling large datasets (batch/streaming)
• Experience with cloud platforms – GCP (Google Cloud Platform)
• BigQuery, Dataflow, Dataproc, GCS (Google Cloud Storage)
• Experience with data migration / data integration projects
• Understanding of data pipeline architecture and distributed systems
Company:
Euclid Innovations specializes in product development, application development, risk management, computational solutions, and DevOps. Founded in 2009, the company is headquartered in Charlotte, USA, with a team of 501-1000 employees. The company is currently Late Stage.