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Big Query Jobs in Arizona (NOW HIRING)

GCP Engineer

Phoenix, AZ ยท On-site

$56.50 - $75.25/hr

Hands-on experience in GCP Big Query, Orchestration using Composer and Airflow, etc. * Knowledge of Pub/Sub and Dataflow will be an advantage. * Should be able to demonstrate very good knowledge of ...

Data Engineer

Phoenix, AZ ยท On-site

$111K - $133K/yr

... 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 ...

Google Cloud (Big Query, Cloud Storage, Flow, Proc, Looker), Jenkins, DevOps, Ansible Comments: We are currently looking for a Lead Data Engineer who can: - -Lead complex/large data delivery ...

Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

... 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 ...

Data Engineer

Scottsdale, AZ

$115K - $139K/yr

... Composer Big Query Cloud Storage GKE Airflow etc At least 2 years of experience in Data governance and Metadata Management Ability to work independently solve problems update the stake holders ...

Data Engineer

Scottsdale, AZ

$115K - $139K/yr

... Composer Big Query Cloud Storage GKE Airflow etc At least 2 years of experience in Data governance and Metadata Management Ability to work independently solve problems update the stake holders ...

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Phoenix, Arizona Duration: Long Term Working knowledge on Big Query Hands on experience on Dataproc Javapython programming language Good Experience on Bigtable Good to have ComposerAirflow experience ...

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Big Query information

See Arizona salary details

$40.1K

$42.9K

$45.2K

How much do big query jobs pay per year?

As of Jun 11, 2026, the average yearly pay for big query in Arizona is $42,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,900.00 and $42,900.00 per year, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

Big Query professionals, such as data engineers, data architects, and senior analytics managers, can earn $300,000 or more annually, especially with extensive experience, advanced certifications, and expertise in cloud data platforms. High-level roles in technology, finance, and consulting that involve managing large datasets and complex analytics often reach or exceed this salary level.

What are typical daily responsibilities for someone in a BigQuery Engineer position?

A BigQuery Engineer typically focuses on designing, developing, and maintaining cloud-based data warehouses, ensuring that data pipelines are efficient and reliable. Daily tasks often include writing and optimizing SQL queries, managing ETL (Extract, Transform, Load) processes, and collaborating with data analysts and stakeholders to deliver data solutions. The role also involves troubleshooting performance issues, maintaining data quality, and implementing best practices for security and cost optimization. Teamwork and regular communication with both technical and non-technical colleagues are key to ensuring data solutions align with business goals.

What is a BigQuery job?

A BigQuery job is a unit of work that BigQuery executes on your behalf, such as running a query, loading data, exporting data, or copying a table. Jobs are asynchronous and can be monitored for completion using job IDs. Each job runs in the context of a specific project and may consume processing resources based on the complexity of the task.

What job makes $10,000 a month without a degree?

High-paying jobs that can reach $10,000 a month without a degree often include roles such as sales managers, real estate brokers, or skilled trades like electricians and plumbers, especially with experience and certifications. Additionally, some tech roles like data analysts or cloud specialists can achieve this income through certifications and experience, often working in freelance or consulting capacities.

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

To excel in a BigQuery Engineer role, you need a strong background in SQL, data modeling, and cloud-based data warehousing, often supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), especially BigQuery, along with certifications like Professional Data Engineer, is highly valuable. Attention to detail, problem-solving ability, and effective communication are important soft skills for this position. These competencies enable efficient handling of large datasets, ensure data accuracy, and foster smooth collaboration with analytics and engineering teams.

How hard is it to get hired at Google?

Getting hired as a BigQuery specialist at Google typically requires strong technical skills in data analysis, SQL, and cloud platforms, along with relevant experience and certifications. The hiring process is competitive and involves multiple interview rounds assessing technical knowledge, problem-solving, and cultural fit.

What is a BigQuery job?

A BigQuery job refers to a task or operation executed within Google BigQuery, such as running a query, loading data, or exporting data. As a BigQuery professional, understanding how to manage and optimize these jobs is essential for efficient data analysis and processing, often requiring knowledge of SQL and cloud environment management.
What are popular job titles related to Big Query jobs in Arizona? For Big Query jobs in Arizona, the most frequently searched job titles are:

Big Data Hadoop Developer

Purple Drive Technologies

Phoenix, AZ โ€ข On-site

Full-time

Posted 19 days ago


Job description

Overview:
Hi All,
Role Descriptions: Must Have TechnicalFunctional SkillsIn-depth knowledge of the Hadoop ecosystem| including HDFS| MapReduce| Spark | Scala | HiveExpertise in Hive for data warehousing and querying large datasets.Strong experience with Apache Spark for distributed data processing and real-time analytics.Advanced proficiency in Scala programming for big data application development.Familiarity with data modeling| ETL processes| and data integration techniques.Experience with cloud platforms and big data tools (e.g.| Google Big Query).Strong analytical and problem-solving skills to address complex data challenges.Basic knowledge on JAVA | SpringbootStrong SQL skill.Roles ResponsibilitiesArchitect and design scalable big data solutions leveraging technologies like Hadoop| Hive| Spark| and Scala.Develop and optimize data pipelines and workflows for processing and analyzing large-scale datasets.Manage and fine-tune distributed computing frameworks to ensure high performance and reliability.Collaborate with cross-functional teams| including data engineers| analysts| and business stakeholders| to gather and define data requirements.Implement data security| governance| and compliance measures in big data environments.Diagnose and resolve technical issues in big data systems to maintain operational efficiency.Generic Managerial Skills| If anyDecision Making| Problem Solving| Leadership| Time Managementproficient in Java Application development| Java script and Application developemnt
Essential Skills: Must Have TechnicalFunctional SkillsIn-depth knowledge of the Hadoop ecosystem| including HDFS| MapReduce| Spark | Scala | HiveExpertise in Hive for data warehousing and querying large datasets.Strong experience with Apache Spark for distributed data processing and real-time analytics.Advanced proficiency in Scala programming for big data application development.Familiarity with data modeling| ETL processes| and data integration techniques.Experience with cloud platforms and big data tools (e.g.| Google Big Query).Strong analytical and problem-solving skills to address complex data challenges.Basic knowledge on JAVA | SpringbootStrong SQL skill.Roles ResponsibilitiesArchitect and design scalable big data solutions leveraging technologies like Hadoop| Hive| Spark| and Scala.Develop and optimize data pipelines and workflows for processing and analyzing large-scale datasets.Manage and fine-tune distributed computing frameworks to ensure high performance and reliability.Collaborate with cross-functional teams| including data engineers| analysts| and business stakeholders| to gather and define data requirements.Implement data security| governance| and compliance measures in big data environments.Diagnose and resolve technical issues in big data systems to maintain operational efficiency.Generic Managerial Skills| If anyDecision Making| Problem Solving| Leadership| Time Managementproficient in Java Application development| Java script and Application developemnt