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Internship Google Bigquery Jobs (NOW HIRING)

BI Analyst Co-op

New York, NY · On-site

$30 - $35/hr

Familiarity with Google BigQuery, React Framework * Preferred: A background with Agile development ... Internships Salary Range: $30-$35 per hour The actual base salary offered depends on a variety of ...

BI Analyst Co-op

Manhattan, NY · Remote

$30 - $35/hr

Familiarity with Google BigQuery, React Framework * Preferred: A background with Agile development ... Internships Salary Range: $30-$35 per hour The actual base salary offered depends on a variety of ...

Google BigQuery or SQL. * Power Bi or Tableau. (Candidates with at least one skill from each bullet ... Co-Op/Internship in Manufacturing, Supply Chain, or Distribution with experience applying basic ...

Data Visualization Associate

Columbus, OH · On-site

$55.50K - $56K/yr

Minimum one year of relevant experience in analytics, reporting, or data management (internships ... Google BigQuery, AWS Redshift, Azure Synapse Analytics, Apache Spark). * Exposure to data ...

Data Visualization Associate

Columbus, OH · On-site

$55.50K - $56K/yr

Minimum one year of relevant experience in analytics, reporting, or data management (internships ... Google BigQuery, AWS Redshift, Azure Synapse Analytics, Apache Spark). * Exposure to data ...

Google BigQuery or SQL. * Power Bi or Tableau. (Candidates with at least one skill from each bullet ... Co-Op/Internship in Manufacturing, Supply Chain, or Distribution with experience applying basic ...

Junior Integration Developer

Guaynabo, PR · On-site

$67.10K - $87.10K/yr

... on Google Cloud Run * Work closely with data engineering and analytics teams to support BigQuery ... Working knowledge of Python and SQL (internships, academic projects, or entry-level experience ...

Junior Integration Developer

Guaynabo, PR · On-site

$67.10K - $87.10K/yr

... on Google Cloud Run * Work closely with data engineering and analytics teams to support BigQuery ... Working knowledge of Python and SQL (internships, academic projects, or entry-level experience ...

Data Engineer Co-Op

New York, NY · On-site +1

$30 - $35/hr

... tools like BigQuery * Support the development of cloud-based data platforms (including UMG ... Contribute to deploying and testing systems on Google Cloud * Help gather data requirements and ...

Prior internship experience or minimum 1 year of relevant work experience * Currently pursuing or ... Google Cloud Platform (BigQuery, Vertex AI, Cloud Storage) * Azure (preferred) (Azure Data Lake ...

AI Co-Op

Wooster, OH · On-site

Prior internship experience or minimum 1 year of relevant work experience * Currently pursuing or ... Google Cloud Platform (BigQuery, Vertex AI, Cloud Storage) * Azure (preferred) (Azure Data Lake ...

Internship | Part-Time or Full-Time | Paid and Unpaid or Academic Credit Immediate Openings Only ... BigQuery Cloud & Infrastructure Google Cloud Platform (Firebase, Cloud Functions, Pub/Sub, Cloud ...

... internship-level, undergraduate coursework-related, or professional experience building AI/ML ... BigQuery, Snowflake). * Experience with data privacy tools such as Google DLP. * Interest in or ...

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How much do internship google bigquery jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship google bigquery in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Google Bigquery vs Data Analyst Intern?

AspectInternship Google BigqueryData Analyst Intern
Required SkillsSQL, data analysis, cloud platformsExcel, SQL, data visualization
Work EnvironmentTech companies, cloud servicesVarious industries, data-focused teams
CertificationsGoogle Cloud certifications helpfulBasic data analysis certifications optional
Industry UsagePrimarily tech and cloud providersBroad across multiple sectors

Internship Google Bigquery focuses on working with cloud-based data warehousing and SQL in tech environments, often requiring familiarity with Google Cloud tools. Data Analyst Internships are broader, emphasizing data analysis, visualization, and reporting skills across various industries. Both roles involve data handling but differ in technical focus and industry application.

More about Internship Google Bigquery jobs
What cities are hiring for Internship Google Bigquery jobs? Cities with the most Internship 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 Internship Google Bigquery jobs? States with the most job openings for Internship Google Bigquery jobs include:
Infographic showing various Internship Google Bigquery job openings in the United States as of May 2026, with employment types broken down into 6% Internship, 1% As Needed, 72% Full Time, 17% Part Time, and 4% Contract. Highlights an 77% Physical, 1% Hybrid, and 22% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
DATA501: Data Intelligence Stack Owner

DATA501: Data Intelligence Stack Owner

JerseySTEM, Inc.

Remote

Other

Posted 20 days ago


Job description

About JerseySTEM
All JerseySTEM roles are pro-bono (unpaid) positions.
JerseySTEM is a mission-driven professional network of pro-bono contributors dedicated to improving access to STEM education and career pathways for underserved middle school girls in New Jersey.
Members contribute their professional skills and leverage their networks in service of the organization's gender-equity agenda.
Membership is a minimum six-month commitment of approximately six flexible hours per week and includes a $100 refundable deposit, returned after six months of active membership. K-12 educators, retirees, veterans, interns, and students are exempt from the deposit.
Overview
This is a pro-bono volunteer position.
JerseySTEM is seeking an AI-Forward Data Intelligence Stack Owner to lead the evolution of our data-to-intelligence pipeline. The scope of this role is strictly focused on the Intelligence Layer of the tech stack, transforming organizational data into automated insights
You will architect a stack that leverages Generative AI, Automated Data Pipelines, and Predictive Modeling to provide real-time, actionable intelligence. You are the bridge between raw data silos and an AI-enhanced decision-making culture.
Responsibilities
  • AI-Centric Architecture: Design and oversee a data stack (Google BigQuery, Vertex AI, or similar) that prioritizes AI readiness and automated data flow.
  • Generative Insights: Implement AI "Chat-with-your-Data" interfaces and LLM-driven summarization for stakeholders to interact with organizational data.
  • Predictive Analytics: Move beyond historical reporting to build models that predict volunteer churn, student engagement trends, and fundraising opportunities.
  • Automated Governance: Utilize AI tools to monitor data quality, flag anomalies, and ensure privacy compliance automatically.
  • Orchestration: Integrate data from platforms (Salesforce, Jira, Google Workspace) using AI-friendly ETL/ELT processes that minimize manual intervention.
  • Implementation: Directly configure and code/test the initial data pipelines, AI integrations, and reporting logic before scaling through the lean team."
  • Team Leadership: Recruit and mentor a "Lean Data Team" focused on modern techniques like prompt engineering for data, automated visualization, and data engineering.

Qualifications
  • Applied AI for Analytics: Strong understanding of how to use LLMs specifically for data extraction, SQL generation, and automated synthesis
  • Modern Data Stack Expertise: Experience with cloud data warehouses and AI-integrated BI tools (e.g., Looker's Duet AI, Power BI Copilot).
  • Data Engineering Mindset: Proficiency in SQL and Python, with an emphasis on building clean data for AI consumption.
  • Visionary Thinking: Ability to replace spreadsheets with automated, intelligent solutions
  • Ability to translate AI-driven outputs simply to cross-functional partners.
  • Comfortable working in a remote, distributed, member-driven environment.
  • Minimum commitment of 6 hours per week.
Preferred Qualifications
  • Experience building data products, automated reporting agents.
  • Previous experience in a leadership role within a tech-focused nonprofit or startup leading through shifts from legacy to automated data ecosystems.
  • Familiarity with "AI-as-a-Service" platforms and low-code AI automation.
  • Retired professionals or those seeking meaningful pro bono work are welcome.
Key Outcomes
  • The Intelligent Stack: A data environment where AI performs the first-layer of analysis.
  • Self-Service Intelligence: Stakeholders can get answers to complex questions through automated agents rather than waiting for manual reports.
  • Zero-Latency Insights: Implementing systems where key stakeholders receive automated proactive alerts and summaries via Chat/Email driven by data anomalies or trends
  • Scalable Team: A high-performing member team trained in AI-forward data practices