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Big Query Jobs in Arizona (NOW HIRING)

United IT

Senior data engineer

Phoenix, AZ

$105K - $143K/yr

ANSI-SQL, GCP Big Query, Scala Role Focus: Hands-on data engineering with Spark, Scala, Python, and cloud platforms such as GCP; AWS knowledge is an advantage. Position Overview We are seeking a ...

Kaav Inc.

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

... Big Query Cloud Storage GKE Airflow etc * At least 5 years of experience in Data governance and Metadata Management * Ability to work independently solve problems update the stake holders * Analyze ...

Samprasoft

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

... Big Query, Cloud Storage, GKE, Airflow, etc * At least 5 years of experience in Data governance and Metadata Management * Ability to work independently, solve problems, update the stakeholders

Futran Tech Solutions Pvt. Ltd.

GCP Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... Composer Big Query Cloud Storage GKE Airflow etc At least 5 years of experience in Data governance and Metadata Management Ability to work independently solve problems update the stake holders ...

InterSources

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

... 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

PayPal

Software Engineer

Scottsdale, AZ

Special Skill Requirements: 1. Python/Java programming (2 years) 2. External processing partner Engineering and incident management experience (2 years) 3. SQL - Oracle or Big Query (2 years) 4. ...

PayPal, Inc.

Software Engineer

Scottsdale, AZ · On-site

Special Skill Requirements: 1. Python/Java programming (2 years) 2. External processing partner Engineering and incident management experience (2 years) 3. SQL - Oracle or Big Query (2 years) 4. ...

Donato Technologies, Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... big plus. • Hands on experience in GCP BigQuery, Orchestration using Composer and Airflow etc ... query optimization. • Hands on experience with Python & Java programming languages. • ...

PNC Bank

Data Engineer Sr

Phoenix, AZ · On-site

$113K - $136K/yr

... Query Language (SQL) Competencies Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures ...

Net Orbit

Data Architect

Phoenix, AZ · On-site

$62 - $79.75/hr

... query requirements, and interface requirements. The Data Warehouse Design Document shall include ... Hands-on expertise in data warehousing and architecture, data modelling, master data, big data ...

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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:
What job categories do people searching Big Query jobs in Arizona look for? The top searched job categories for Big Query jobs in Arizona are:
Big Query jobs near you

Senior data engineer

United IT

Phoenix, AZ

$105K - $143K/yr

Other

Posted 19 days ago

Job description

Senior Data Engineer – GCP, Scala, Spark & Python

Location: Phoenix, AZ (Hybrid)

Mandatory Skills: ANSI-SQL, GCP Big Query, Scala

Job Description

Role Focus: Hands-on data engineering with Spark, Scala, Python, and cloud platforms such as GCP; AWS knowledge is an advantage.

Position Overview

We are seeking a Specialist with 5 to 7 years of experience in GCP data analytics to design, build, and optimise scalable data solutions on Google Cloud Platform. The ideal candidate will bring strong expertise in GCP BigQuery, Scala, ANSI SQL, and modern data engineering practices, along with the ability to support reliable, secure, and high-performing analytics workflows.

Key Responsibilities:

  • Design, develop, and maintain scalable data processing and analytics pipelines using GCP BigQuery and Scala.
  • Write, optimise, and maintain complex ANSI SQL queries for data extraction, transformation, validation, and reporting.
  • Implement data processing workflows and automation scripts to improve pipeline efficiency and reliability.
  • Collaborate with data engineers, analysts, and business stakeholders to gather requirements and deliver effective cloud-based data solutions.
  • Ensure data quality, integrity, governance, and security across analytics workflows and pipelines.
  • Monitor and optimise the performance and cost of data processing jobs running on GCP.
  • Diagnose and resolve data discrepancies and pipeline issues to maintain high availability and operational stability.
  • Maintain clear documentation for data workflows, processes, standards, and best practices.
  • Stay current with emerging GCP data analytics technologies and recommend continuous improvements to existing solutions.
  • Participate in code reviews and mentor junior team members on GCP data analytics tools, methods, and engineering practices.

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