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Google Bigquery Jobs in Arizona (NOW HIRING)

Sarian, Inc.

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... as Amazon Redshift, Google BigQuery, or Apache Airflow 6) Knowledge of Airflow and CI/CD pipelines 7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc Roles ...

Sarian, Inc.

Cloud Architect

Phoenix, AZ · On-site

$63.25 - $80.50/hr

... Google BigQuery (GBQ), Airflow and DBT or similar technologies for designing data ingestion/reporting, transformations, optimisations and middleware interoperability • Demonstrated ability to ...

Virtusa Corporation

Devops Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

With extensive hands-on experience across platforms like Google BigQuery, GCP, Python, Docker, and Kubernetes, Aparna excels in bridging development and operations workflows to accelerate deployments ...

NucleusTeq

Software Developer

Phoenix, AZ · On-site

Talend, Apache NiFi, Informatica MDM, PostgreSQL, Snowflake, Google BigQuery, Kafka, MQ, SQL, Python, Java, Apache Camel, Apache Ignite, Spark, and Hive. Requires a Master's Degree in Computer ...

NucleusTeq

Software Developer

Phoenix, AZ · On-site +1

Talend, Apache NiFi, Informatica MDM, PostgreSQL, Snowflake, Google BigQuery, Kafka, MQ, SQL, Python, Java, Apache Camel, Apache Ignite, Spark, and Hive. Requires a Master's Degree in Computer ...

Deloitte

Google AI Architect

Gilbert, AZ · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Deloitte

Google AI Architect

Tempe, AZ · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Staffingine LLC

Adobe AEP engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Strong knowledge of data architecture data design patterns modeling and cloud data solutions Snowflake AWS Redshift Google BigQuery * Data Model Expertise in Logical and Physical Data Model using ...

Deloitte

Google AI Lead Architect

Tempe, AZ · On-site

$53 - $72.50/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Nucleusteq

Software Developer

Phoenix, AZ · On-site

$157K/yr

Talend, Apache NiFi, Informatica MDM, PostgreSQL, Snowflake, Google BigQuery, Kafka, MQ, SQL, Python, Java, Apache Camel, Apache Ignite, Spark, and Hive. Requires a Master's Degree in Computer ...

V-CENTRIX-US LLC

Java Spring Boot Developer

Phoenix, AZ · On-site

$50.75 - $65.50/hr

SQL Google Cloud Platform (Google Cloud Platform) * Pub/Sub * BigQuery * Spanner * Cloud SQL * Identity and Access Management (IAM) * Cloud Composer * Apache Airflow DevOps & Tools * CI/CD Pipelines

Siri Infosolutions Inc

DATA ARCHITECT

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Work with BigQuery and Google Cloud Storage to implement cloud-based data solutions. Collaborate with business, technical, and engineering teams to understand requirements and deliver data solutions.

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Google Bigquery information

See Arizona salary details

$24.3K

$108.2K

$173.8K

How much do google bigquery jobs pay per year?

As of Aug 31, 2026, the average yearly pay for google bigquery in Arizona is $108,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,505.00 and $145,631.00 per year, depending on experience, location, and employer.

What is a Google BigQuery?

A Google BigQuery job is an asynchronous task used to run queries, load data, export data, or copy data within BigQuery. Each job is assigned a unique job ID and executes in the background, meaning it doesn't require continuous user interaction. There are different types of jobs: query jobs for running SQL queries, load jobs for importing data, export jobs for extracting data, and copy jobs for duplicating tables. Jobs can be managed and monitored through the BigQuery UI, CLI, or API.

What are the key skills and qualifications needed to thrive in the Google BigQuery position?

To excel in a Google BigQuery role, proficiency in SQL, data warehousing concepts, and cloud architecture is essential, often supported by a relevant degree in computer science or data analytics. Familiarity with the Google Cloud Platform (GCP), BigQuery-specific tools, and related certifications like Google Professional Data Engineer are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals distill complex data sets and collaborate across teams. These competencies are vital for efficiently managing, analyzing, and leveraging large-scale data within organizations to drive actionable business insights.

What are some typical projects or challenges faced by professionals working with Google BigQuery?

Professionals working with Google BigQuery often tackle projects involving the integration, analysis, and visualization of massive data sets to support business decision-making. Common challenges include optimizing query performance, managing data security and governance, and designing scalable data pipelines to handle rapidly growing information. Day-to-day, you might collaborate with data engineers, data analysts, and business stakeholders to interpret results and translate findings into actionable strategies. This role offers the opportunity to stay at the forefront of cloud data technologies while making a measurable impact on organizational goals.

Is Google Bigquery hard to learn?

Google BigQuery is a cloud-based data warehouse that requires understanding SQL and data analysis concepts. While it has a learning curve for beginners, many resources and tutorials are available to help new users become proficient quickly, especially if they have prior experience with SQL or data management tools.

What are jobs in Google Bigquery?

Jobs related to Google BigQuery typically involve managing, analyzing, and optimizing large datasets using SQL and cloud-based tools. Common roles include data analysts, data engineers, and database administrators who require knowledge of BigQuery, cloud computing, and data warehousing concepts. These positions often demand familiarity with Google Cloud Platform and related certifications.

What is Google BigQuery used for?

Google BigQuery is a cloud-based data warehouse used for storing and analyzing large datasets quickly and efficiently. It enables data analysts and data engineers to run complex SQL queries, perform data analytics, and generate insights from big data without managing infrastructure. Skills in SQL and cloud environments are essential for working effectively with BigQuery.

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

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

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

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

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

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

Google Bigquery jobs near you
Infographic showing various Google Bigquery job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 64% Physical, 5% Hybrid, and 31% Remote job distribution, with an average salary of $108,196 per year, or $52 per hour.

Data Engineer

Phoenix, AZ • On-site

Sarian, Inc.
See more jobs at Sarian, Inc.external

$111K - $133K/yr

Full-time

Re-posted 17 days ago

Job description

JD:
Technical/Functional Skills
1) Strong proficiency in SQL and database technologies
2) Familiarity with data warehousing and data modelling concepts
3) Hands-on experience with Google Cloud Platform (GCP) tools such as Big Query, Cloud Storage, Dataproc, Dataflow, Pub/Sub, and Bigtable
4) Experience with big data technologies such as Hadoop, Spark, Hive, Kafka etc
5) Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow
6) Knowledge of Airflow and CI/CD pipelines
7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc
Roles & Responsibilities
• Design, develop, and maintain data architectures and infrastructure
• Collaborating with cross-functional teams to understand complex data requirements and deliver efficient solutions
• Design, build, and maintain data pipelines to support data ingestion, ETL, and storage
• Monitor, troubleshoot, and improve the performance and reliability of data systems.
• Monitor BigQuery usage and manage cost-effective scaling of resources.
• Develop and maintain data models to support analytics and reporting

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