2

Remote Gcp Data Engineer Jobs in Arizona (NOW HIRING)

Senior Agentic Software Engineer (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Safeguard the privacy, security, and trust of members' sensitive data in partnership with Risk and ...

Agentic Software Engineer 3

Scottsdale, AZ ยท Remote

$137K - $234K/yr

Agentic Software Engineer III (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Safeguard the privacy, security, and trust of members' sensitive data in partnership with Risk and ...

Data Analyst (REMOTE)

Phoenix, AZ ยท Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts ... Utilizes programming and analytical tools, including open source programs including Python, R and ...

Remote will be considered within the continental United States. HOW YOU'LL SPEND YOUR TIME * Lead and develop the Data and AI team, including a Data Architect, Data Architects and AI/ML Engineer.

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

This role is a remote work opportunity Insight at a Glance * 14,000+ engaged teammates globally ... As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and ...

Agentic Software Engineer II

Scottsdale, AZ ยท Remote

$119K - $188K/yr

Agentic Software Engineer II (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Safeguard the privacy, security, and trust of members' sensitive data in partnership with Risk and ...

AI Consulting Expert - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

AI Data Science Expert - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Senior Software Engineer

Scottsdale, AZ ยท Remote

$137K - $257K/yr

Senior Software Engineer (Remote) arrivia Remote (US) Full-time About arrivia arrivia specializes ... Experience building and deploying cloud-native solutions on AWS, Azure, or GCP * Proficiency using ...

Showing results 21-40

Remote Gcp Data Engineer information

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 the most commonly searched types of Gcp Data Engineer jobs in Arizona?

The most popular types of Gcp Data Engineer jobs in Arizona are:

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

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

What cities in Arizona are hiring for Remote Gcp Data Engineer jobs?

Cities in Arizona with the most Remote Gcp Data Engineer job openings:

Principal Software Engineer

Citizens Financial Group

Phoenix, AZ โ€ข On-site, Remote

$134K - $179K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

Description

Locations:ย This role will require a 4-day hybrid work schedule in one of our primary organizational hubs including: Johnston, RI, Phoenix, AZ and Remote is not an option.

The Principal Software Engineer serves as a technical authority and innovation leader, shaping architecture, mentoring engineers, and driving engineering excellence. Expertise in cloud-native architectures, modern development frameworks, and software engineering best practices is essential for delivering high-quality, secure, and scalable solutions.


Key ResponsibilitiesSoftware Engineering & Delivery
  • Design and develop full-stack applications while ensuring alignment with enterprise architecture standards.
  • Participate in Agile software development practices and collaborate effectively with cross-functional teams.
  • Design, modify, develop, and implement modern application components, tools, and services that support strategic business objectives.
  • Build scalable, maintainable, resilient, and highly available distributed systems.
  • Apply software security best practices throughout the Software Development Life Cycle (SDLC).
  • Identify, prevent, and remediate security vulnerabilities to protect systems and sensitive data.
  • Serve as a technical leader and mentor, promoting innovation, accountability, and engineering excellence.
  • Contribute to architectural decisions and technology strategy.
AI-Driven Development & Agentic Engineering
  • Leverage AI-assisted development tools (e.g., GitHub Copilot and similar technologies) to improve engineering productivity and code quality.
  • Design and implement agentic workflows throughout the software development lifecycle.
  • Utilize AI technologies for:
    • Code generation
    • Code refactoring
    • Code optimization
    • Automated code review
    • Quality analysis
    • Intelligent test generation
    • Defect detection
  • Develop and integrate AI-powered applications and services.
  • Build customer-facing solutions utilizing Large Language Models (LLMs).
  • Implement AI-driven automation for engineering and operational processes.
  • Develop multi-agent workflows for orchestration and automated decision-making.
  • Apply advanced AI solution patterns including:
    • Retrieval Augmented Generation (RAG)
    • Prompt engineering
    • Context management
    • Agent orchestration
    • Tool integration
  • Ensure secure, compliant, and responsible use of AI technologies, particularly when handling regulated financial data.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Engineering, Mathematics, or a related technical discipline.
  • 7+ years of hands-on software development experience delivering and supporting commercial software applications.
  • Demonstrated experience leading, mentoring, and developing engineering talent.
  • Strong experience developing applications using Node.js and modern Node.js frameworks.
  • Hands-on experience with Java, Spring, and Spring Boot.
  • Experience with modern front-end frameworks such as Angular, React, or similar technologies.
  • Strong understanding of authentication and security protocols including OAuth and SAML.
  • Experience implementing security controls and protecting enterprise systems and data.
  • Experience building and supporting containerized applications using Docker, Kubernetes, and/or OpenShift.
  • Cloud platform experience with AWS, Microsoft Azure, and/or Google Cloud Platform (GCP).
  • Experience developing and deploying solutions that manage sensitive or regulated data.
  • Strong knowledge of Software Development Life Cycle (SDLC) processes.
  • Experience with CI/CD pipelines and DevOps tooling, including:
    • Jenkins
    • Harness
    • Git
    • Bitbucket
    • Nexus
  • Experience with relational databases including:
    • MySQL
    • PostgreSQL
    • Oracle
  • Experience with NoSQL databases such as MongoDB.
  • Strong understanding of data structures and algorithms.
  • Experience utilizing code quality and code coverage tools.
  • Strong verbal, written, and interpersonal communication skills.
  • Hands-on experience using AI-assisted development tools such as GitHub Copilot or equivalent.
  • Familiarity with Large Language Models (LLMs) and AI application development concepts.

Preferred Qualifications
  • Experience developing applications with Go and/or Python.
  • Experience working with streaming and event-driven platforms including:
    • Kafka
    • Amazon Kinesis
    • Amazon SQS
    • Apache Storm
  • 3+ years of experience within financial services, consumer banking, wealth management, or trading environments.
  • Understanding of banking systems, operations, and financial services processes.
  • Experience with Domain-Driven Design (DDD).
  • Experience implementing Command Query Responsibility Segregation (CQRS).
  • Cloud certifications such as:
    • AWS Certified Solutions Architect
    • AWS Certified Developer
    • Equivalent Azure or GCP certifications

Technical SkillsProgramming Languages
  • Java
  • Node.js
  • Go (Preferred)
  • Python (Preferred)
Front-End Technologies
  • Angular
  • React
Frameworks
  • Spring
  • Spring Boot
  • Node.js Frameworks
Cloud Platforms
  • AWS
  • Azure
  • GCP
Containerization & Orchestration
  • Docker
  • Kubernetes
  • OpenShift
Databases
  • MySQL
  • PostgreSQL
  • Oracle
  • MongoDB
DevOps & CI/CD
  • Jenkins
  • Harness
  • Git
  • Bitbucket
  • Nexus
Security
  • OAuth
  • SAML
  • Secure SDLC Practices
AI & Emerging Technology
  • GitHub Copilot
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • Agentic AI Workflows
  • Agent Orchestration
  • AI Automation

What Sets This Role Apart
  • Lead digital-first banking transformation initiatives.
  • Drive adoption of AI-powered and agentic software engineering practices.
  • Influence enterprise architecture and next-generation development methodologies.
  • Partner with engineering leaders to shape the future of software delivery and innovation.

We offer competitive pay, comprehensive medical, dental, and vision coverage, retirement benefits, maternity and paternity leave, flexible work arrangements, education reimbursement, wellness programs, and more. Citizens' paid time off policy exceeds the mandatory paid sick or paid time away policies of local and state jurisdictions in the United States. For an overview of our benefits, visit our Careers site - https://jobs.citizensbank.com/benefits.

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST