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Full Time Gcp Data Engineer Jobs (NOW HIRING)

GCP Data Engineer

Alpharetta, GA

$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

Brooklyn, OH · On-site

$107K - $129K/yr

Brooklyn, OH Fulltime position Onsite position JD: * GCP Data Engineer * Experience: * Realtime and batch data integration development experience using GCP services. * Experience extracting ...

GCP Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Our client is looking GCP Data Engineer project , below is the detailed requirements. Position: GCP Data Engineer Location: Charlotte, NC; Oakland, CA or Mountain View, CA Long term * Bachelor ...

GCP Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

GCP Data Engineer We are seeking an experienced GCP Data Engineer with a strong background in data engineering, cloud technologies, and optimization. The ideal candidate will have expertise in Google ...

GCP Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

GCP Data Engineer Location: Richardson,Texas or Hartford,CT, (Hybrid / Onsite as required) Employment Type: Contract (W2) Role Overview Our client is seeking an experienced GCP Data Engineer to ...

GCP Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

GCP Data Engineer: (Direct Applicants Only) - Full-Time The Senior Staff Data Engineer - API serves as a primary development resource for design, writing code, test, implementation, document ...

GCP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Overview: We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role: GCP Data Engineer (Data Engineering & Analytics / Cloud Migration) Location: phoenix , AZ / Philadelphia , PA Competencies Must-Have: Strong experience in GCP (Google Cloud Platform) data ...

GCP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Staff Data Engineer - API serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of NextGen solutions for the GCP Cloud ...

Data Engineer - GCP

Dublin, OH · On-site

$110K - $132K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale data pipelines within a hybrid big data architecture , primarily on Google Cloud Platform (GCP) . This ...

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · 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

Atlanta, GA · On-site

$110K - $132K/yr

Diverse Lynx is seeking a GCP Data Engineer to join their team. The role involves defining data requirements, developing data pipelines, and collaborating with data science and business intelligence ...

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Full Time Gcp Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jun 8, 2026, the average yearly pay for full time 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 the difference between Full Time Gcp Data Engineer vs Gcp Data Analyst?

AspectFull Time Gcp Data EngineerGcp Data Analyst
Required SkillsData pipeline development, cloud architecture, SQL, Python, GCP servicesData querying, visualization, SQL, Excel, GCP BigQuery
CertificationsGCP Professional Data Engineer, Cloud certificationsGCP Data Analytics certifications (optional)
Work EnvironmentDesigning and maintaining data infrastructure in cloud environmentsAnalyzing data, creating reports, supporting business decisions
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

Full Time Gcp Data Engineers focus on building and maintaining data pipelines and infrastructure in GCP, requiring technical skills in cloud architecture and programming. Gcp Data Analysts primarily analyze data and generate insights, often using visualization tools. While both roles work with GCP services, their responsibilities and skill sets differ significantly.

What are some common challenges faced by Full Time GCP Data Engineers when working with large-scale data pipelines?

Full Time GCP Data Engineers often encounter challenges such as optimizing data pipeline performance, managing costs associated with cloud resources, and ensuring data quality and security. Working with large-scale data can introduce complexities related to data partitioning, schema evolution, and latency in data processing. Collaboration with data scientists, analysts, and other engineers is essential to align data architecture with business requirements and to troubleshoot issues quickly. Staying up to date with the latest GCP services and best practices is also important to maintain efficient and scalable solutions.

What are the key skills and qualifications needed to thrive as a Full Time GCP Data Engineer, and why are they important?

To thrive as a Full Time GCP Data Engineer, you need strong expertise in data engineering concepts, SQL, programming languages like Python or Java, and experience with cloud data platforms, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Dataproc, and relevant certifications like Google Professional Data Engineer are highly beneficial. Outstanding problem-solving skills, attention to detail, and effective communication set top performers apart. These competencies are crucial for designing scalable data solutions, ensuring data integrity, and seamlessly collaborating with cross-functional teams.

What does a Full Time GCP Data Engineer do?

A Full Time GCP Data Engineer is responsible for designing, building, and managing data processing systems on the Google Cloud Platform (GCP). They work with large datasets, create data pipelines using GCP tools like BigQuery, Dataflow, and Cloud Storage, and ensure data is securely stored, processed, and made accessible for analytics or machine learning. Their role often involves optimizing data workflows, maintaining data quality, and collaborating with data scientists and analysts. Additionally, they implement best practices for data security, scalability, and cost efficiency within the GCP ecosystem.
What cities are hiring for Full Time Gcp Data Engineer jobs? Cities with the most Full Time 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 Full Time Gcp Data Engineer jobs? States with the most job openings for Full Time Gcp Data Engineer jobs include:
GCP Data Engineer

$111K - $134K/yr

Full-time

Posted 13 hours ago


Job description

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 optimize scalable data solutions. The ideal candidate will have a strong background in data engineering, data modeling, and data analysis, and will be proficient in cloud-based architectures. You will be responsible for architecting, developing, and maintaining data pipelines, optimizing data lifecycle processes, and creating insightful reports and dashboards that drive decision-making.
In this role, you will work closely with cross-functional teams to design robust data models and analytics solutions, utilizing your skills in BigQuery, Python, PySpark, LookML, SQL, GCP Data Studio, and GCP Data Flow. Your ability to tell compelling data stories and translate complex data into actionable insights will be crucial to your success.
Key Responsibilities:
-Design, develop, and manage scalable data architectures and pipelines on Google Cloud Platform (GCP).
-Build and optimize complex data models and ETL processes using BigQuery, LookML, Python, PySpark, and SQL.
-Utilize GCP Data Flow and other GCP services to automate data processing and orchestration.
-Leverage GCP Looker Studio to create insightful dashboards and reports that provide business value.
-Collaborate with data scientists, analysts, and other stakeholders to gather requirements and translate them into technical solutions.
-Conduct data analysis to identify trends, patterns, and insights to support data-driven decision-making.
-Apply advanced data modeling techniques to ensure data quality, integrity, and consistency.
-Manage and optimize the entire data lifecycle, from ingestion to archiving and deletion.
-Develop and implement best practices for data governance, security, and compliance on GCP.
-Communicate complex data findings to non-technical stakeholders through storytelling and data visualization.
Qualifications:
-Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field.
-8+ years of hands-on experience in data engineering, data modeling, and analytics on Google Cloud Platform (GCP).
-Proficient in BigQuery, LookML, Python, PySpark, and SQL for data processing and analysis. 

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About Cedent

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CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008