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Remote Gcp Data Engineer Jobs in Goodyear, AZ (NOW HIRING)

XTG

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ...

Adecco

Senior Data Engineer

Phoenix, AZ · Remote

$120K - $135K/yr

Remote - Anywhere in the U.S. Salary: Based on education & experience Schedule: Full-Time | Monday-Friday Time Zone: Must be available for meetings during Arizona business hours The Opportunity We're ...

Quest Global

Data Engineer / BI Developer

Phoenix, AZ · On-site +1

$70K - $80K/yr

Build and maintain the data pipeline supporting traceability and status reporting * Develop ... We offer flexible work options, including remote arrangements, to support the need of the role and ...

New

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within ...

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

... software engineers, and other scientists. - Communicate findings and insights through data ... Preferred Qualifications: - Experience with cloud platforms like GCP. - Previous experience in ...

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All JobsGcp Data Engineer JobsRemote Gcp Data Engineer JobsRemote Gcp Data Engineer Jobs in Goodyear, AZ

Remote Gcp Data Engineer information

See Goodyear, AZ salary details

$43.5K

$126.7K

$173.4K

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

As of Aug 23, 2026, the average yearly pay for remote gcp data engineer in Goodyear, AZ is $126,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $134,300.00 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 are popular job titles related to Remote Gcp Data Engineer jobs in Goodyear, AZ?

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What job categories do people searching Remote Gcp Data Engineer jobs in Goodyear, AZ look for?

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What cities near Goodyear, AZ are hiring for Remote Gcp Data Engineer jobs?

Cities near Goodyear, AZ with the most Remote Gcp Data Engineer job openings:

Remote Gcp Data Engineer jobs near you

GCP Architect

Inherent Technologies

Chandler, AZ • Remote

$65.25 - $84/hr

Other

Re-posted 7 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.