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Remote Gcp Data Engineer Jobs (NOW HIRING)

Green Mountain Power

Data Engineer

Colchester, VT · On-site +1

$145K - $150K/yr

Data Engineer (Remote) Green Mountain Power Corporation seeks a Data Engineer to collect, clean ... AWS S3, Microsoft Azure, and Google Cloud Platform (GCP); Data Modeling & Design: Star Schema ...

Wells Fargo

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Wells Fargo

Lead Data Engineer

Iselin, NJ · On-site +1

$116K - $139K/yr

In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Wells Fargo

Lead Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/yr

In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

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.

Lancesoft

Data Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $41/hr

Lead Data Engineer -Data & AI, Supply Chain Fully Remote Rate: $40/hour About the Role Tech is ... Strong hands-on experience with Google Cloud Platform (GCP). * Expert-level proficiency in ...

Arbor

Data Engineer

$117K - $140K/yr

The Data Engineer will own the data infrastructure that powers Arbor's intelligence layer, ensuring ... our GCP production systems into Snowflake. • Own our dbt transformation layer end-to-end ...

Arbor

Data Engineer

$117K - $140K/yr

They are seeking a Data Engineer to own the data infrastructure that powers their intelligence ... our GCP production systems into Snowflake. • Own our dbt transformation layer end-to-end ...

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 ...

Arbor

Data Engineer

$117K - $140K/yr

They are seeking a Data Engineer to own the data infrastructure that powers their intelligence ... our GCP production systems into Snowflake. • Own our dbt transformation layer end-to-end ...

Arbor

Data Engineer

$117K - $140K/yr

The Data Engineer will own the data infrastructure that powers Arbor's intelligence layer, ensuring ... our GCP production systems into Snowflake. • Own our dbt transformation layer end-to-end ...

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:

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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 Aug 6, 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 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.

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 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 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.
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 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

GCP Architect

Inherent Technologies

Chandler, AZ • Remote

$65.25 - $84/hr

Other

Re-posted 20 days ago

Job description

Position: GCP Architect

Location: Secaucus, NJ/Remote

Duration: 1 Years


JD:
8+ years of experience in Data Engineering or L3 level of support in data Analytics
General Description
Experience with Data Lake, data warehouse ETL pipelines build and design.
Hands-on with GCP data and analytics services - Cloud DataProc, Cloud Dataflow, Cloud Dataprep , Apache Beam/ composer, Cloud BigQuery,
Data Pipeline Development: Design, develop, and maintain ETL/ELT pipelines to ensure seamless data flow from various sources to our data warehouse using DBT or GCP BigQuery.
Data Modelling: Implement and manage data models in BigQuery to support business analytics and reporting needs.
Version Control: Utilize GIT for version control to manage changes in data pipelines, schemas, and related code.
Solid coding skills in languages such as SQL, Python, or Java
8+ years of experience as a Data Engineer or in a similar role
Technical Requirements
Identify, create, maintain and support data model/data aggregation model base on business requirements and implement ETL for those models accordingly.
Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Implementing, establishing standards, and maintaining company data lake (UDP), regional platforms data streaming from Apache Kafka topics.
Develop and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
Writes unit/integration tests, contributes to engineering wiki, and documents work.
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Works closely with a team of frontend and backend engineers, product managers, and analysts.
Design data integrations and data quality framework.
Design and evaluates open source and vendor tools for data lineage.
Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.
Plan, create, and maintain data architectures while also keeping it aligned with business requirements.
Work closely with business and application delivery team on new digital project/implementation to understand solution and implemented data structure so that all relevant data engineer work including reports and various data-related enhancement can be implemented accordingly as part of the project.
Develop report/dashboard/dataset for business user base on request.
Assist to support existing reports/dashboard/dataset and also maintain report/dashboard/dataset repository.
Soft Skills
Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Strong problem-solving and critical thinking skills.
Exceptional project management and organizational abilities.
Team collaboration and leadership skills.
Demonstrate a general knowledge of market trends and competition.
Be a strong team player.
Client-focused approach with a commitment to delivering exceptional customer service.
Certifications (Good to have)
Google Professional Data Engineer
Google Professional Data Architect
Educational Qualifications
Bachelor's Degree in Computer Science, Computer Engineering or a closely related field.