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Remote Gcp Data Engineer Jobs (NOW HIRING)

SWITS DIGITAL Private Limited

Data Engineer - GCP

$117K - $140K/yr

Denver, CO (Remote) Job Summary The client is seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have ...

IT America Inc

GCP Data Architect

Richmond, VA · Remote

$65.25 - $84/hr

GCP Data Architect Location: Remote Duration: Long term contract Note: Looking for Permanent / Independent Visa holders Designing Data Solutions: * Architecting data pipelines that handle the ...

Sparq

Senior GCP Data Engineer

$108K - $147K/yr

Remote or hybrid work options * Competitive salary + bonus opportunities * Robust benefits package ... Own data pipelines end to end-from ingestion and transformation through validation and delivery ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Hands-on experience with GCP and GCP data products (BigQuery, Cloud SQL, Cloud Storage, etc.

Hack The Box

Senior Data Engineer

$108K - $147K/yr

Fully Remote The fellowship you'll be joining: You will be part of the Data, Analytics & AI team ... GCP, BigQuery, Bigtable, Cloud Storage * Streaming & messaging: Pub/Sub, Kafka * Processing:

Ruri Software Technologies LLC

Data Engineer with GCP

$117K - $140K/yr

Data engineer with GCP Location : FL /TX Skills:- * Experience working in GCP based Big Data deployments (Batch/Real-Time)Leveraging Big Query,Fusion, Dataflow, Dataproc, etc. * Demonstrated mastery ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and services like S3, Redshift, BigQuery ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

Navtech, Inc.

URGENT NEED - Data Engineer ___ REMOTE

$117K - $140K/yr

I have an opportunity for " Data Engineer ___ REMOTE" and I am looking for a candidate who can join ... Knowledge of databases (SQL/NoSQL) and cloud platforms (AWS, GCP, or Azure). Regards, Alex . K ...

IT America Inc

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Position: Data Engineer Location: Remote Duration: 6 month contract Note: Client is looking for ... Comfortable working with cloud platforms (e.g., AWS, GCP, Azure) and tools like BigQuery, Redshift ...

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage * Familiarity with big data tools like ...

NinjaTrader

Sr. Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Hands-on experience with GCP and GCP data products (BigQuery, Cloud SQL, Cloud Storage, etc.

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Remote Gcp Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Sep 2, 2026, the average yearly pay for remote 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 remote GCP data engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.

How does a remote GCP data engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What are the key skills and qualifications needed to thrive as a remote GCP data engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

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

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What cities are hiring for Remote Gcp Data Engineer jobs?

Cities with the most Remote 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 Remote Gcp Data Engineer jobs?

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

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

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

Remote Gcp Data Engineer jobs near you
Infographic showing various Remote Gcp Data Engineer job openings in the United States as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer - GCP

SWITS DIGITAL Private Limited

Remote

$117K - $140K/yr

Full-time

Re-posted 8 days ago

Job description

Data Engineer - GCP
Location: Denver, CO (Remote)
Job Summary
The client is seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.
This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.
Key Responsibilities
  • Design, develop, and maintain scalable batch and real-time data pipelines on GCP
  • Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing
  • Build high-performance data transformations using Python and PySpark
  • Develop and optimize complex SQL queries for analytical workloads
  • Work extensively with BigQuery for large-scale data processing and performance tuning
  • Develop and deploy pipelines using Cloud Dataflow
  • Orchestrate workflows using Cloud Composer (Apache Airflow)
  • Manage data storage and lifecycle using Google Cloud Storage (GCS)
  • Implement version control and CI/CD pipelines using Git-based tools
  • Ensure data security, governance, and access control using GCP IAM
  • Optimize data solutions for performance, scalability, reliability, and cost-efficiency

Required Skills & Experience
  • Strong hands-on experience with Google Cloud Platform (GCP)
  • Expertise in BigQuery (partitioning, clustering, query optimization)
  • Proven experience implementing Medallion Data Architecture
  • Strong programming skills in Python and PySpark
  • Advanced proficiency in SQL (complex joins, window functions, performance tuning)
  • Hands-on experience with Cloud Dataflow
  • Experience with Cloud Composer (Airflow) for orchestration
  • Experience working with Google Cloud Storage (GCS)
  • Knowledge of version control systems (Git) and CI/CD practices
  • Strong understanding of GCP IAM and cloud security best practices

Preferred Qualifications
  • Experience working with large-scale enterprise data platforms
  • Knowledge of data warehousing and data lake concepts
  • Familiarity with real-time streaming frameworks
  • Experience in data governance and data quality frameworks
  • Exposure to Agile/Scrum methodologies
    Data Engineer - GCP
    Location: Denver, CO (Remote)
    Job Summary
    The client is seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.
    This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.
    Key Responsibilities
  • Design, develop, and maintain scalable batch and real-time data pipelines on GCP
  • Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing
  • Build high-performance data transformations using Python and PySpark
  • Develop and optimize complex SQL queries for analytical workloads
  • Work extensively with BigQuery for large-scale data processing and performance tuning
  • Develop and deploy pipelines using Cloud Dataflow
  • Orchestrate workflows using Cloud Composer (Apache Airflow)
  • Manage data storage and lifecycle using Google Cloud Storage (GCS)
  • Implement version control and CI/CD pipelines using Git-based tools
  • Ensure data security, governance, and access control using GCP IAM
  • Optimize data solutions for performance, scalability, reliability, and cost-efficiency
  • Required Skills & Experience
  • Strong hands-on experience with Google Cloud Platform (GCP)
  • Expertise in BigQuery (partitioning, clustering, query optimization)
  • Proven experience implementing Medallion Data Architecture
  • Strong programming skills in Python and PySpark
  • Advanced proficiency in SQL (complex joins, window functions, performance tuning)
  • Hands-on experience with Cloud Dataflow
  • Experience with Cloud Composer (Airflow) for orchestration
  • Experience working with Google Cloud Storage (GCS)
  • Knowledge of version control systems (Git) and CI/CD practices
  • Strong understanding of GCP IAM and cloud security best practices
  • Preferred Qualifications
  • Experience working with large-scale enterprise data platforms
  • Knowledge of data warehousing and data lake concepts
  • Familiarity with real-time streaming frameworks
  • Experience in data governance and data quality frameworks
  • Exposure to Agile/Scrum methodologies

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