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Remote Google Bigquery Jobs (NOW HIRING)

PTP

Google Cloud Solution Architect - REMOTE

Austin, TX · On-site +1

$62 - $84.75/hr

Dialogflow CX/ES, Conversational Insights, Speech to Text, BigQuery, Pub/Sub, GKE or Cloud Run, and/or Vertex AI • Expert in Google Cloud foundational best practices for IAM, project hierarchy ...

E-Solutions

BI Architect

Chicago, IL · Remote

Chicago, IL (Onsite & Remote) Full Time Required Skills: * BQ, Looker,GCP, SQL, DataFlow, Debezium ... Deep knowledge of Google Cloud Platform core services and architecture best practices(Bigquery ...

Flip To, Inc.

Senior Full-stack Engineer (Remote)

Maitland, FL · Remote

$113K - $150K/yr

Azure SQL, GA 360 & Google BigQuery * C#, ASP.Net & Angular * Several other cloud services used to analyze the immense amount of data that we collect, as well as to increase our platform performance ...

Hikinex

REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the ... Google BigQuery). • Familiarity with containerized database deployment (Docker, Kubernetes)

Ascension

Technical Analyst- Data and Systems

$96K/yr

Remote Department/Specialty: Data Delivery Governance Schedule: Day shift | Full-time Salary Range ... Utilize Google BigQuery to execute complex SQL queries, validate transformations, and build ...

GeoDelphi

Software Engineer

San Francisco, CA · Remote

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared Are you ready to be ... Experience with Big Data processing tools, such as Spark/Hadoop, Google's BigQuery, AWS's Athena ...

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All JobsRemote Google Bigquery Jobs

Remote Google Bigquery information

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$15

$27

$37

How much do remote google bigquery jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for remote google bigquery in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working remotely with Google BigQuery, and how can they be addressed?

One common challenge remote Google BigQuery professionals face is optimizing query performance while managing cost, since inefficient queries can quickly increase expenses. Collaboration with distributed teams can also be tricky, especially when aligning on data schema changes or troubleshooting issues across time zones. To address these, it's helpful to establish clear documentation practices, use version control for SQL scripts, and schedule regular check-ins with team members. Leveraging Google BigQuery's built-in monitoring and cost control tools also helps maintain project efficiency and budget constraints.

What is the difference between Remote Google Bigquery vs Remote Data Analyst?

AspectRemote Google BigqueryRemote Data Analyst
Required CredentialsSQL, Cloud certifications, Google Cloud certificationsSQL, Data analysis, Excel, sometimes certifications
Work EnvironmentCloud platforms, data warehouses, remote teamsData visualization tools, spreadsheets, reporting platforms
Industry UsageData engineering, cloud services, analyticsBusiness intelligence, reporting, insights

Remote Google Bigquery specialists focus on managing and querying large datasets using Google Cloud, requiring technical skills and cloud certifications. Remote Data Analysts interpret data, create reports, and provide insights, often using visualization tools. While both roles work remotely and handle data, Bigquery roles are more technical and cloud-focused, whereas Data Analysts focus on analysis and reporting.

What are the key skills and qualifications needed to thrive as a Remote Google BigQuery Specialist, and why are they important?

To excel as a Remote Google BigQuery Specialist, you need a solid background in SQL, data warehousing concepts, and experience with cloud-based analytics platforms, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), BigQuery ML, data visualization tools like Looker or Tableau, and relevant certifications such as Google Professional Data Engineer are highly beneficial. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart. These skills and qualifications enable efficient management of large datasets, insightful analytics, and seamless collaboration in distributed teams.

What is a Remote Google BigQuery job?

A Remote Google BigQuery job is a position where professionals manage, analyze, and optimize large datasets using Google BigQuery, a fully-managed cloud data warehouse, while working from a location outside of a traditional office. These roles typically involve writing SQL queries, building data pipelines, and collaborating with data engineers and analysts to derive insights from data stored in the cloud. Remote BigQuery specialists may also be responsible for maintaining data security, optimizing query performance, and integrating BigQuery with other data tools. This flexible setup allows employees to work from anywhere with a stable internet connection while supporting organizations' data needs.
More about Remote Google Bigquery jobs
What cities are hiring for Remote Google Bigquery jobs? Cities with the most Remote Google Bigquery job openings:
What are the most commonly searched types of Google Bigquery jobs? The most popular types of Google Bigquery jobs are:
What states have the most Remote Google Bigquery jobs? States with the most job openings for Remote Google Bigquery jobs include:
What job categories do people searching Remote Google Bigquery jobs look for? The top searched job categories for Remote Google Bigquery jobs are:
Remote Google Bigquery jobs near you
Infographic showing various Remote Google Bigquery job openings in the United States as of June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.
Cloud Architect - Google Cloud Platform (GCP)

Cloud Architect - Google Cloud Platform (GCP)

Northramp LLC

Washington, DC • Remote

$66.50 - $84.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

We are seeking a Google Cloud Platform architect to design, govern, and continuously mature enterprise-scale cloud architectures across IaaS, PaaS, and SaaS environments. This is a senior architectural role — you will set cloud strategy, drive GCP-native solution design, ensure FedRAMP High compliance, and guide DevSecOps adoption across a large federal program portfolio. Deep, demonstrable GCP expertise is the non-negotiable core of this role.

This role is remote with a preference for a candidate located Virginia, Maryland, or Washington DC.

Key Responsibilities
  • Lead the design and development of GCP-native enterprise architectures covering IaaS, PaaS, and SaaS workloads.
  • Architect solutions leveraging core GCP services: Compute Engine, GKE, Cloud Run, BigQuery, Google SIEM, etc.
  • Design and oversee Infrastructure as Code (IaC) implementations using Terraform and Google Cloud Deployment Manager.
  • Architect secure, FedRAMP High-compliant cloud environments aligned with FISMA, NIST 800-53, and DHS 4300A requirements.
  • Define GCP networking architectures including VPCs, Shared VPCs, Cloud Interconnect, Cloud VPN, and hybrid connectivity patterns.
  • Provide architectural leadership for containerization (GKE, Anthos), serverless (Cloud Functions, Cloud Run), and managed database services on GCP.
  • Lead cloud architecture reviews, technical design sessions, and stakeholder presentations with both technical and executive audiences.
  • Establish and maintain cloud architecture frameworks, reusable patterns, and governance standards across the program.
  • Collaborate with DevSecOps, data engineering, and application teams to ensure architectural consistency and compliance.
  • Evaluate emerging GCP services and advise leadership on adoption roadmaps and strategic cloud investments.

Requirements

Required Qualifications
  • 7–10 years of cloud architecture experience with 5+ years of deep, hands-on Google Cloud Platform (GCP) expertise.
  • Expert-level knowledge of GCP core services: compute, networking, storage, data, AI/ML, and security.
  • Proficiency in IaC tools — Terraform required; experience with Google Cloud Deployment Manager a strong plus.
  • Deep understanding of GCP networking: VPC design, Shared VPC, Cloud Interconnect, Cloud Armor, Cloud Load Balancing.
  • Strong experience designing containerized and Kubernetes-based workloads on GKE and Anthos.
  • Hands-on experience with GCP security services: Cloud IAM, BeyondCorp, Security Command Center, VPC Service Controls.
  • Knowledge of FedRAMP High, FISMA, NIST 800-53 compliance requirements in cloud environments.
  • Experience with CI/CD pipeline architecture and DevSecOps practices on GCP (Cloud Build, Artifact Registry).
  • Exceptional communication skills — able to translate complex architecture into actionable guidance for engineering teams and executives alike.
Desired Qualifications
  • Experience with Google Workspace and Apigee API management.
  • Familiarity with Google Cloud's AI/ML services (Vertex AI, BigQuery ML).
  • Multi-cloud architecture experience (AWS, Azure) in addition to primary GCP expertise.
  • TOGAF or equivalent enterprise architecture framework experience.
Additional Information
  • Successful completion of a client-required background investigation and suitability determination will be required.
  • The ability to obtain and maintain a federal security clearance may be required based on the engagement.
  • Bachelor's or Master's degree in Computer Science, Information Systems, Electrical Engineering, or a related technical field.
  • GCP Professional Cloud Architect certification — required.
  • Additional GCP specialty certifications (Professional Data Engineer, Professional Security Engineer) highly desirable.
  • TOGAF certification preferred. CCSP or CISSP strongly desirable.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Wellness Resources
  • Employee Bonus Programs