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Data Engineer Gcp Data Engineer Jobs (NOW HIRING)

GCP Data Engineer

Dallas, TX ยท On-site

$107.70K - $129.30K/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 ยท On-site

$105.20K - $126.30K/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 ...

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 ...

Senior GCP Data Engineer

Phoenix, AZ ยท On-site

$105.20K - $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 ...

GCP Data Engineer

Tampa, FL ยท On-site

$108.20K - $129.90K/yr

Infosys is a global leader in next-generation digital services and consulting, and they are seeking a GCP Data Engineer to contribute to the requirements elicitation process, facilitate software ...

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GCP Cloud Engineer

Hartford, CT

$115.50K - $138.70K/yr

We are seeking a highly skilled GCP Data Engineer to design, build, and optimize data solutions on Google Cloud Platform. In this role, you will develop scalable data pipelines, enable advanced ...

GCP Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Develop Terraform modules for GCP observability and monitoring, including alerting policies ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

GCP Data Engineer

Dallas, TX ยท On-site

$113.30K - $136K/yr

Stay up-to-date on the latest trends and best practices in data engineering on Google Cloud Platform Required Skills: * Experience working with Google Cloud Platform (Google Cloud Platform) services ...

GCP Data Engineer

Austin, TX ยท On-site

$113.50K - $136.30K/yr

... GCP Core Services Technical Skills 2 Foundational|Development process generic|Cloud Application Development process Overview The Infosys Data and Analytics (DNA) unit is at the forefront of ...

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Data Engineer Gcp Data Engineer information

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

As of May 29, 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 are the key skills and qualifications needed to thrive as a GCP Data Engineer, and why are they important?

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 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 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.

More about Data Engineer Gcp Data Engineer jobs
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 May 2026, with employment types broken down into 94% Full Time, 5% Contract, and 1% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
GCP Data Engineer

$107.70K - $129.30K/yr

Full-time

Posted 27 days ago


Job description

Top Skills:
  • As a Data engineer (successfully lead the delivery of projects including end-to-end requirements, data analysis, perform data engineering activities and work with the users for data validation.
  • 5+ years of experience in Datawarehouse or Data Analytics
  • 5+ years of Hands on experience in setting up Google Cloud Data Engineering
  • 5+ years of Strong Hands on experience in any programming (Python, Spark)
  • Professional Cloud Data Engineer Certification is a plus

Requisite Abilities and/or Skills
  • Perform requirement gathering with the business users and SME and build a plan
  • Perform ETL and data engineering work by leveraging multiple google cloud components using Cloud Dataflow, Cloud Data Proc, Google BigQuery
  • Knowledge on Data Modelling and reporting using Google Cloud BigQuery
  • Knowledge on building data pipelines leveraging GCP best methodologies
  • Strong understanding towards Kubernetes, docker containers and to deploy GCP services
  • Experience in writing code to extract, transform data from multiple data sources including
  • Experience in ETL tools like Informatica or any ETL tools
  • Experience in scheduling like Airflow, Cloud Composer etc.
  • Experience in CI/CD automation pipeline facilitating automated deployment and testing
  • Excellent verbal and written communication, problem solving and interpersonal skills.
  • Experience in data catalog and metadata management.
  • Experience with JIRA or any other Project Management Tools
  • Deliver end to end comprehensive documentation along with code samples
  • Experience in one or multiple scripting languages / Cloud solutions is a plus

Key Accountabilities and Priorities:
  • Build a and operationalize pipelines to include data acquisition, staging, integration of new data sources, cataloging, cleansing, batch and stream processing, transformation, and consumption
  • Independently work on assigned projects and foster a collaborative environment for a high-performing team
  • Gather Business requirements, Review business priorities, Analyze options & risks
  • Quickly Understand and formulate application level requirements pertaining to complex workflows, or integration with external applications

Additional Information:
  • Bachelor's Degree. Masters is a plus.
  • 8+ years' experience in Information Technology and/or in IT Professional Services.