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Data Engineer Gcp Data Engineer Jobs (NOW HIRING)

Bright Mind Solutions LLC

GCP Data Engineer

New York, NY · 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

E-Solutions

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

GCP Data Engineer Location: Phoenix, Arizona Duration: Long Term Working knowledge on Big Query Hands on experience on Dataproc Javapython programming language Good Experience on Bigtable Good to ...

CEDENT

GCP Data Engineer (Alpharetta, GA)

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 ...

Cedent

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 ...

Compunnel

GCP Data engineer

Aliso Viejo, CA · On-site

Mandatory areas - GCP Data engineer - 6+ years of experience Must Have skills: - Data Science - Google cloud platform - Composer - Bigquery - Cloud engineering - Data engineering - Platform ...

Diverse Lynx

GCP Data Engineer

Naperville, IL

$113K - $136K/yr

... with GCP services including GCS Bucket, Cloud Functions, Dataproc, Dataflow, and Pub/Sub ... data exploration Experience working in multi-developer environments using version control (Git ...

Avani Technology Solutions, Inc.

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 ...

eTeam

Lead GCP Data Engineer

Charlotte, NC · On-site

Job Summary : eTeam is seeking a Lead GCP Data Engineer with extensive experience in data engineering and GCP. The role involves leading design discussions, collaborating with teams to define data ...

Ruri Software Technologies LLC

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 ...

New

Megan soft Inc

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 ...

Saransh Inc

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 ...

Omni Inclusive

GCP Data Engineer

Irving, TX

$109K - $132K/yr

GCP Platform Engineer Responsibilities: * Develop, deploy, and maintain Google Cloud solutions and ... Implement data protection and identity access management policies to safeguard cloud resources and ...

Samprasoft

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Experience Skills Qualifications: * 6 years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics * Very strong hands on Python expertise * Strong Data and GCP ...

Motion Recruitment

GCP Data Engineer

Charlotte, NC · Hybrid

$111K - $134K/yr

A well-known Financial Services Company is looking for a GCP Data Engineer in Charlotte, NC (Hybrid). Work with the brightest minds at one of the largest financial institutions in the world. This is ...

New

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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 Jun 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 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 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 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 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.
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Data Engineer Gcp Data Engineer jobs near you
Infographic showing various Data Engineer Gcp Data Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

GCP Data Engineer

Futran Tech Solutions Pvt. Ltd.

Nashville, TN • On-site

Full-time

Posted 2 days ago

Job description

GCP Data Engineers.
Location - Nashville TN ( Onsite)
Overview
We are seeking an experienced Google Cloud Platform (GCP) Data Architect to design, build, and manage scalable, secure, and cost-optimized data solutions, aligned with reporting needs. This role involves translating business requirements into robust technical architectures, ensuring data integrity, and enabling advanced analytics through GCP services like BigQuery and Cloud Storage. The ideal candidate will lead strategy, design, and implementation efforts while collaborating with stakeholders to drive data-driven decision-making.
Key Responsibilities:
  • Architect Scalable Data Solutions: Design and implement data warehouses, marts, lakes, and batch and/or real-time streaming pipelines using GCP-native tools.
  • Data Modeling & Integration: Design and Develop conformed data models (star/snowflake schemas) and ETL/ELT processes for analytics and BI tools (MicroStrategy, Looker, Power BI).
  • Pipeline Development: Build scalable pipelines and automate data ingestion and transformation workflows using BigQuery, Dataflow , Dataproc/PySpark, Cloud Functions, Pub/Sub, Kafka, and Cloud Composer for orchestration.
  • Security & Compliance: Implement IAM, encryption, and compliance standards (GDPR, HIPAA) with GCP security tools.
  • Performance Optimization: Apply best practices for partitioning, clustering, and BI Engine to ensure high performance and cost efficiency.
  • DevOps & Automation: Integrate CI/CD pipelines, IaC (Terraform), and containerization (Docker, Kubernetes) for deployment and scalability.
  • Collaboration & Leadership: Engage with stakeholders including leadership, Project Managers, BAs, Engineers, QA, platform teams, mentor teams, and provide technical guidance on best practices.
  • Troubleshooting: Resolve complex technical issues and support incident response.
  • Healthcare Domain Expertise: Ensure compliance with healthcare regulations and stay updated on industry trends.

Required Skills & Working experience:
  • GCP Expertise: BigQuery, Cloud Storage, Dataflow (Apache Beam with python), Dataproc/PySpark, Cloud Functions, Pub/Sub, Kafka, Cloud Composer.
  • Programming: Advanced SQL and Python for analytics and pipeline development.
  • Performance Optimization: Experience with optimization of query performance, partitioning, clustering, and BI Engine, in BigQuery.
  • Automation: Experience with CI/CD for data pipelines, IaC for data services, automation of ETL/ELT processes.
  • Security: Strong knowledge of IAM, encryption, and compliance frameworks.
  • Architecture Design: Ability to create fault-tolerant, highly available, and cost-optimized solutions.
  • Communication: Excellent ability to convey technical concepts to both technical and non-technical stakeholders.
  • Domain Knowledge: Familiarity with healthcare data management and regulatory compliance.

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