ZipRecruiter

Log In

2

Remote Google Bigquery Jobs in California (NOW HIRING)

Fastly

Data Engineer

San Francisco, CA · On-site +1

$133K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Google Cloud Platform (GCP), scaling ingestion of complex data sources, and following best ... You have experience with cloud data warehouse technologies (BigQuery is a plus) * You are driven by ...

previous page

Showing results 21-24

All JobsGoogle Bigquery JobsRemote Google Bigquery JobsRemote Google Bigquery Jobs in California

Remote Google Bigquery information

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?

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?

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.

What are the most commonly searched types of Google Bigquery jobs in California?

The most popular types of Google Bigquery jobs in California are:

What are popular job titles related to Remote Google Bigquery jobs in California?

For Remote Google Bigquery jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Google Bigquery jobs in California look for?

The top searched job categories for Remote Google Bigquery jobs in California are:

What cities in California are hiring for Remote Google Bigquery jobs?

Cities in California with the most Remote Google Bigquery job openings:

Remote Google Bigquery jobs near you
Infographic showing various Remote Google Bigquery job openings in California as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 40% In-person, 20% Hybrid, and 40% Remote job distribution.

Staff Software Engineer, Platform & Solutions

Wpromote

Los Angeles, CA • On-site, Remote

$170K - $205K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

The Role
 
We are seeking an experienced Staff Software Engineer who can operate across platform engineering, application architecture, infrastructure, automation, DevSecOps, and data pipeline systems.
This is not a narrow platform role. Success in this role requires someone who can jump into complex problems across the stack, quickly understand the system, design a practical path forward, and build the solution. The right person will be equally comfortable improving cloud foundations, debugging application architecture, building automation, hardening security patterns, improving developer experience, and helping teams make better technical decisions. You will also serve as a senior technical partner across engineering teams, stepping into a variety of systems that require ownership and architectural guidance. You crave broad technical ownership and can raise the quality, speed, and reliability of engineering across the organization. 
 
We offer:
-Unlimited PTO
-Extended Holiday break (Winter)
-100% paid parental leave
-401(k) matching
-Medical, Dental, Vision, Life, Pet Insurance
-Sponsored life insurance
-Short Term Disability insurance and additional voluntary insurance
-Annual Class Pass credits and more!
 
The anticipated annual salary for this role will range from $170,000 - $205,000, based on a variety of factors unique to each candidate, including skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and the respective state's salary threshold for exempt employees. At Wpromote, pay ranges are subject to change and are based on specific market medians for similar jobs according to third-party salary benchmark surveys. Individual pay within that range can vary due to skills, experience, and available budget.  The total compensation package for this role will include benefits (listed above).
 
This position may be performed remotely in most states within the US, with some exclusions
**While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!
***This position is not eligible for immigration sponsorship
 
 
Important Notice: Beware of Job Scams
Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity.
 
#LI-SD
#LI-Remote
You Will Be
  • Architecting and improving cloud foundations, especially on Google Cloud Platform, to support scalable, secure, well-governed workloads.
  • Designing and building platform capabilities across GCP, Kubernetes, serverless, CI/CD, GitOps, observability, AI, and developer tooling.
  • Establishing and improving GitOps workflows using tools such as GitHub Actions, Argo CD, Terraform, Helm, and automated release pipelines.
  • Managing and evolving enterprise Kubernetes clusters, including workload standards, deployment patterns, security controls, and operational practices.
  • Building reusable Terraform modules, Helm charts, templates, SDKs, scripts, and internal tools that reduce repeated manual work.
  • Improving developer experience by creating paved roads, self-service workflows, better documentation, standardized environments, and reliable delivery pipelines.
  • Implementing secure-by-default engineering patterns for IAM, Workload Identity Federation, secrets management, network security, auditability, and least-privilege access.
  • Helping software teams integrate with observability tooling such as OpenTelemetry, Prometheus, Grafana, Sentry, or similar systems.
  • Troubleshooting difficult production issues across applications, infrastructure, data workflows, cloud services, and deployment systems.
  • Partnering with application, data, product, and UX stakeholders to design practical solutions to complex business and technical problems.
  • Supporting data and AI platform needs where needed, including PostgreSQL, dbt, BigQuery, Snowflake, CDC, Data Lakes, and other data tools.
  • Comfortable maintaining both infrastructure and DAGs for an orchestration platform at scale, preferably Airflow.
  • Mentoring engineers and raising the technical bar through code review, architecture review, pairing, documentation, and direct implementation.
  • Evaluating vendors, frameworks, and platform tooling with a pragmatic build-versus-buy mindset.
  • Helping improve cloud cost visibility, resource governance, budget controls, and FinOps practices.
You Must Have

  • 10+ years of professional software engineering experience.

  • Significant experience operating as a senior or staff-level engineer across multiple technical domains, not just one specialty.

  • Extensive, hands-on experience with cloud infrastructure, preferably on Google Cloud Platform, including Terraform, Kubernetes, Docker, cloud-native architecture, and production workload operations.

  • Strong experience designing and maintaining CI/CD pipelines using GitHub Actions, Argo CD, and GitOps principles to enable automated deployment workflows, environment management, and release automation.

  • Strong OO background and programming fundamentals, as well as scripting and automation skills using Python or Bash.

  • Experience with observability practices, including metrics, logs, traces, alerting, dashboards, SLOs, and incident response.

  • Ability to debug and improve systems across application code, infrastructure, data pipelines, networking, deployments, and cloud services.

  • Ability to quickly learn unfamiliar systems and make sound technical decisions with incomplete information.

  • Strong communication and leadership skills with engineers, product managers, and technical leadership.

  • A pragmatic problem-solving mindset; this role requires someone who can move quickly between systems, learn on the fly, and create durable solutions without over-engineering.

Nice to Have
  • Knowledge of GCP Enterprise Foundations Blueprint or similar enterprise cloud foundation patterns.
  • Clear understanding with GKE, Workload Identity Federation, Artifact Registry, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, or related GCP services.
  • Examples of building internal developer platforms, self-service infrastructure, golden paths, or platform APIs.
  • Comfort working with data platform tools such as Airflow, dbt, BigQuery, Snowflake, Data Lakes, Kafka, Pub/Sub, and GCS.
  • Familiarity with serverless architectures and event-driven systems.
  • Awareness of SOC 2, PCI, CIS benchmarks, or similar security and compliance frameworks.
  • Experience modernizing legacy systems, monoliths, deployment processes, or poorly governed cloud environments.
Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
 
Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote.
 
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply