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Remote Google Cloud Platform Jobs in Virginia (NOW HIRING)

Google Cloud Engineer

Herndon, VA · Remote

$57.25 - $76.50/hr

... Cloud Platform (GCP) solutions for our customers. The ideal candidate will have a deep ... Experience with DoD/DISA cybersecurity policies This position will be hybrid / remote based out of ...

Site Reliability Engineer (Remote)

Vienna, VA · On-site +1

$57.25 - $76/hr

Google Cloud Integration and Deployment : Design, implement, and manage our cloud infrastructure on Google Cloud Platform (GCP). This includes setting up and configuring various GCP services, such as ...

Cloud Architect Manager

Norfolk, VA · On-site +1

$63 - $80/hr

... or Google Cloud Platform. * Strong knowledge of cloud platform capabilities, including API ... For positions that are available as remote work, Sentara Health employs associates in the following ...

Performing remote or onsite platform integration engagements for existing clients * Delivering ... Experience with Google Cloud Platform (GCP) and an understanding of Microsoft 365 environments.

Senior Cloud Engineer

Chantilly, VA · Remote

$114K - $190K/yr

... AWS, Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI) in support of ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Senior Cloud Engineer

Chantilly, VA · Remote

$114K - $190K/yr

... AWS, Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI) in support of ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

... AWS, Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI) in support of ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

... AWS, Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI) in support of ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Cloud Platform Engineer

Mclean, VA · Remote

$56.25 - $75.25/hr

Credence has an immediate need for a Cloud Platform Engineer to support cloud modernization efforts ... Experience with Terraform modules, remote state, workspaces, and reusable IaC patterns * Experience ...

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How much do remote google cloud platform jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote google cloud platform in Virginia is $61.18, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $73.41 per hour, depending on experience, location, and employer.

What is a remote Google Cloud Platform?

A Remote Google Cloud Platform (GCP) job involves working with Google Cloud services to develop, manage, and optimize cloud-based solutions from a remote location. Professionals in this field may work as cloud engineers, architects, or DevOps specialists, leveraging GCP tools for computing, storage, networking, and security. These roles typically require expertise in cloud infrastructure, automation, and security best practices. Remote GCP jobs offer flexibility while ensuring businesses can scale their applications efficiently in the cloud.

What skills and qualifications are needed to thrive in a remote Google Cloud Platform position?

To excel as a Remote Google Cloud Platform professional, you typically need strong expertise in cloud architecture, infrastructure management, scripting, and experience with Google Cloud Platform (GCP) services. Familiarity with tools such as Kubernetes, Terraform, and CI/CD pipelines, along with certifications like Google Cloud Certified - Professional Cloud Architect, is highly valued. Excellent problem-solving skills, proactive communication, and the ability to work independently in a distributed team environment set top candidates apart. These skills are essential for effectively designing, deploying, and managing scalable cloud solutions while collaborating remotely across diverse teams.

What are common challenges faced by professionals working remotely with Google Cloud Platform?

Professionals in remote Google Cloud Platform roles often face challenges related to coordinating with geographically dispersed teams and managing complex, large-scale cloud infrastructures with minimal direct supervision. Clear documentation, consistent communication, and strong time management are essential for overcoming these hurdles. Additionally, staying updated with the rapid evolution of GCP services and best practices can be demanding but is critical for delivering robust cloud solutions. Those who thrive in this role are proactive about collaborating through virtual channels and continuously seek to enhance their technical expertise.

What are the most commonly searched types of Google Cloud Platform jobs in Virginia?

The most popular types of Google Cloud Platform jobs in Virginia are:

What are popular job titles related to Remote Google Cloud Platform jobs in Virginia?

For Remote Google Cloud Platform jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Google Cloud Platform jobs in Virginia look for?

The top searched job categories for Remote Google Cloud Platform jobs in Virginia are:

What cities in Virginia are hiring for Remote Google Cloud Platform jobs?

Cities in Virginia with the most Remote Google Cloud Platform job openings:

Infographic showing various Remote Google Cloud Platform job openings in Virginia as of August 2026, with employment types broken down into 65% Full Time, 16% Part Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,264 per year, or $61.2 per hour.

Finance Solutions, Google Cloud Platform

Richmond, VA • On-site, Remote


McKesson
Health Care and Social Assistance • 10K+ employees

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

46th of 86 rated pharmaceutical

People enjoy working here

Good employer

Recommended by students


Full-time

Posted 6 days ago


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Are you a Data Engineer with hands-on experience building modern data solutions in Google Cloud Platform (GCP)? Do you want to play a leading role in a high-visibility enterprise cloud transformation while helping shape the future of Finance Data at McKesson?

McKesson Medical-Surgical (MMS) is seeking a highly skilled and motivated Data Engineer to join our Finance Solutions team. This is a critical individual contributor opportunity within our Finance Data & BI organization, where you will help lead the ongoing migration and modernization of our Finance data platforms to Google Cloud Platform (GCP).

This role is ideal for data engineers who enjoy building scalable Finance data solutions within cloud environments and solving complex business challenges through modern data engineering practices. This position is embedded within the Finance Data & BI organization and focuses on transforming financial data into trusted, analytics-ready assets that support reporting, forecasting, planning, automation, AI/ML initiatives, and strategic business decision-making.

Reporting to the Director, Finance Data & BI, you will partner closely with Finance, Business Intelligence, Data Product, Architecture, and Data Science teams to design, build, and optimize modern cloud-based Finance data solutions. Your work will directly influence the future-state Finance data ecosystem and play a significant role in McKesson's strategic investment in Google Cloud Platform.

Important: We are specifically seeking Data Engineers with experience designing, building, and supporting cloud-based data solutions, preferably within Google Cloud Platform (GCP) environments.

Hybrid Expectations

  • This position is based in Richmond, VA with 3 to 5 days in the office each month.

  • Preferred candidates must currently reside within a reasonable commuting distance (defined as within 60 miles of Richmond).

  • Relocation assistance is not available for this role.

Minimum Requirements

  • 4+ years of relevant experience

Targeted Experience & Critical Skills

  • 4+ years of technical and professional experience as a Data Engineer.

  • Demonstrated hands-on experience delivering production-scale data engineering solutions within Google Cloud Platform (GCP). While we are open to candidates with as little as 2+ years of GCP experience, this capability is considered highly critical to success in the role. The selected candidate will play a significant role in accelerating the migration and modernization of Finance data platforms to GCP. Candidates with proven GCP experience will be strongly preferred.

  • 4+ years of hands-on experience with data warehouse solutions, cloud platforms, relational databases, and data visualization or dashboarding tools.

  • 4+ years of experience working with structured and unstructured data in batch and real-time data processing environments.

  • Strong proficiency in object-oriented programming languages such as Python, Java, or C#.

  • Proven experience in an enterprise environment with:

    • Building and optimizing cloud-based data solutions

    • Supporting business-critical systems

    • Designing or supporting production-scale AI/ML data pipelines

    • Applying data governance by design

    • Data warehousing and ETL best practices

    • CI/CD and version control using GitHub

Additional Skills: (Nice to Have)

  • Experience with PySpark

  • Experience with Matillion or other modern ETL tools

  • Working knowledge of core financial data concepts (general ledger, chart of accounts, financial reporting)

  • Experience deploying SOXcompliant data solutions in a regulated enterprise

  • Experience with Oracle JD Edwards or familiarity with financial application data integrations and data flows

Key Responsibilities

Data Engineering & Architecture

  • Solve complex problems across the full data stack, from advanced data wrangling (SQL, Python, Spark, or similar) to delivering stakeholderready, productionscale data solutions

  • Design new architectures and reengineer existing ones, including optimized data structures, relational databases, and database code

  • Develop, construct, test, and maintain robust, scalable, and efficient ETL/ELT pipelines using modern cloud technologies that support advanced analytics and AI/ML workloads

  • Develop and maintain database code, including stored procedures, functions, and performanceoptimized transformations

  • Create and maintain ETL processes and contribute to CI/CD deployment workflows using GitHub Actions or similar tools

Optimization, Data Quality & Governance

  • Implement and optimize data models (e.g., dimensional modeling) within the Finance data environment

  • Optimize data architecture for performance, scalability, and cost efficiency across large financial datasets

  • Design and implement automated data quality checks, anomaly detection, and validation processes to ensure accuracy and trust in downstream analytics and AI use cases

  • Ensure all data solutions meet financial governance and compliance standards, including SOX requirements

Collaboration & Communication

  • Partner closely with Finance teams (Accounting, FP&A), BI, and Data Product partners to translate complex business requirements into scalable technical solutions

  • Communicate technical concepts clearly to nontechnical stakeholders, balancing innovation with operational risk and controls

  • Enable trusted data environments required for forecasting models, scenario planning, and AIdriven insights

  • Contribute to the strategic evolution of the Finance data platform by evaluating and piloting emerging tools and technologies

About McKesson Medical-Surgical

McKesson Medical-Surgical (MMS), which is expected to become Wellverse in early 2027, is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers.

Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we collaborate with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 270,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$106,500 - $177,500

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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