1

Google Bi Jobs (NOW HIRING)

Site Reliability Engineer (SRE)

Parsippany, NJ · On-site

$57.25 - $76.25/hr

Familiarity with Google BI and AI/ML tools a plus (Looker, BigQuery ML, Vertex AI, etc.) Experience with automation tools (Terraform, Ansible, Puppet). Familiarity with CI/CD pipelines and tools ...

Strong Power BI, Dax, Strong in SQL and data warehousing. At least 15 years' experience and ... Familiarity with cloud platforms (Azure, AWS, Google BigQuery). * Bonus: Python or R for data ...

BI Architect Job Location: Iselin, NJ (Hybrid) Job Type: Contract Note: Need 15+ years of ... Familiarity with cloud platforms (Azure, AWS, Google BigQuery). * Bonus: Python or R for data ...

BI Architect

Prosper, TX · On-site

$60 - $70/hr

BI Architect Location : Iselin, NJ (Hybrid) / Local candidates only Indent : PSL-US211278_1-46-1 ... Familiarity with cloud platforms (Azure, AWS, Google BigQuery). * Bonus: Python or R for data ...

BI / Dashboard Developer · Openings: 1 · Security Clearance: Public Trust or the ability to ... The client environment is Google-based -- Google Workspace (Sheets, Drive, Chat, AppSheet, Apps ...

Details: Sr. BI Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok ... Have experience with Google Looker or Equivalent, Interfacing with Big Query or Equivalent, to ...

Proven experience working with large-scale cloud-based data warehouses (e.g., Snowflake, Google ... Integrate BI Portal with backend AI Agents to facilitate user interaction via text prompts ...

next page

Showing results 1-20

Google Bi information

See salary details

$28

$50

$77

How much do google bi jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for google bi in the United States is $50.86, according to ZipRecruiter salary data. Most workers in this role earn between $38.94 and $58.65 per hour, depending on experience, location, and employer.

What is a Google BI?

A Google BI (Business Intelligence) job typically involves analyzing large datasets, creating dashboards, and generating insights to support data-driven decision-making. BI professionals at Google work with SQL, data visualization tools, and cloud technologies to transform raw data into actionable insights. They collaborate with cross-functional teams to enhance business operations, optimize performance, and support strategic initiatives. Strong analytical skills, problem-solving abilities, and experience with data modeling are essential for this role.

What are the typical day-to-day responsibilities of a Google BI professional?

As a Google BI professional, your daily tasks will often include extracting, transforming, and analyzing large datasets to identify trends and support business decision-making. You'll develop dashboards and reports using tools like Looker or Google Data Studio, collaborate with various teams to understand their data needs, and translate business requirements into analytical solutions. You may also troubleshoot data inconsistencies and work with engineering teams to improve data reliability. This dynamic environment encourages ongoing learning and provides exposure to cutting-edge analytics projects across multiple business domains.

What are the key skills and qualifications needed to thrive in the Google BI position, and why are they important?

To thrive as a Google Business Intelligence (BI) professional, you generally need strong analytical skills, proficiency in data modeling, and a solid understanding of business processes, typically supported by a degree in computer science, data analytics, or a related field. Experience with tools such as SQL, Tableau, Looker (Google Data Studio), and possibly certifications in cloud platforms like Google Cloud Platform (GCP) are highly valued. Excellent communication, problem-solving abilities, and teamwork help translate complex data into actionable insights for diverse stakeholders. These skills are crucial for driving data-informed decisions, optimizing business strategies, and effectively collaborating across departments in a fast-paced tech environment.

More about Google Bi jobs

What are the most commonly searched types of Google Bi jobs?

The most popular types of Google Bi jobs are:

What states have the most Google Bi jobs?

States with the most job openings for Google Bi jobs include:

Infographic showing various Google Bi job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $105,787 per year, or $50.9 per hour.

Site Reliability Engineer (SRE)

SmartIPlace

Parsippany, NJ • On-site

$57.25 - $76.25/hr

Other

Re-posted 8 days ago


Job description

We are looking for a talented Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (GCP), and RedHat OpenShift administration. The ideal candidate will be responsible for ensuring the reliability, performance, and scalability of our on-premise and cloud-based systems along with focus on reducing costs for Google Cloud.
System Reliability: Ensure the reliability and uptime of critical services and infrastructure.
Google Cloud Expertise: Design, implement, and manage cloud infrastructure using Google Cloud services.
Automation: Develop and maintain automation scripts and tools to improve system efficiency and reduce manual intervention.
Monitoring and Incident Response: Implement monitoring solutions and respond to incidents to minimize downtime and ensure quick recovery.
Collaboration: Work closely with development and operations teams to improve system reliability and performance.
Capacity Planning: Conduct capacity planning and performance tuning to ensure systems can handle future growth.
Documentation: Create and maintain comprehensive documentation for system configurations, processes, and procedures.

Qualifications:
Education: Bachelor's degree in computer science, Engineering, or a related field.
Experience: 3+ years of experience in site reliability engineering or a similar role.

Skills:
Proficiency in Google Cloud services (Compute Engine, Kubernetes Engine, Cloud Storage, AlloyDB, Pub/Sub, etc.).
Familiarity with Google BI and AI/ML tools a plus (Looker, BigQuery ML, Vertex AI, etc.)
Experience with automation tools (Terraform, Ansible, Puppet).
Familiarity with CI/CD pipelines and tools (Azure pipelines Jenkins, GitLab CI, etc.).
Strong scripting skills (Python, Bash, etc.).
Knowledge of networking concepts and protocols.
Experience with monitoring tools (Prometheus, Grafana, etc.).

Preferred Certifications:
Google Cloud Professional DevOps Engineer
Google Cloud Professional Cloud Architect
Red Hat Certified Engineer (RHCE) or similar Linux certification


Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media