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Big Query Jobs in Arizona (NOW HIRING)

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 ...

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 ...

Senior Tax Analyst

Phoenix, AZ · Hybrid

$85K - $115K/yr

Candidates with experience from Big 4 firms, large national public accounting firms, or sizable ... Power Query, and Power BI Compensation & Work Model * Salary range of $85,000 to $115,000 ...

Java Developer

Phoenix, AZ · On-site

$50.75 - $65.50/hr

Big projects or small, Halo Group knows that by combining the highest quality talent with our ... Query - 5+ years of experience in Callbacks, Future, Polling, Timeout, Error Handling ...

Experience with performance tuning and query optimization * Experience with scripting/automation ... Familiarity with NoSQL databases and big data platforms

Strong expertise in SQL and data transformation techniques, including performance tuning and query optimization. Experience working with data platforms (RDBMS, cloud data warehouses, big data ...

Data Modeler

Globe, AZ

$52 - $67.50/hr

... volume query performance. * Define and enforce data standards, naming conventions, metadata ... Familiarity in modern cloud data platforms (e.g., AWS, Azure, or GCP) and related Big Data ...

Data Engineer

Phoenix, AZ · Remote

$114K - $137K/yr

... query authoring (SQL) as well as working familiarity with a variety of databases. • Experience building and optimizing 'big data' data pipelines, architectures and data sets. • Experience ...

Database structure or query basics. Diversity & Inclusion Commitment At Komatsu we come from ... If you are looking for a company that values your talent and potential, be a part of something big ...

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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 14, 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:
Data Engineer Sr

Data Engineer Sr

PNC Bank

Phoenix, AZ • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 334 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a(n) Senior Data Engineer within PNC's Business Analytics organization, you will be based in Pittsburgh, PA, Dallas, TX, Phoenix, AZ, Birmingham, AL or Cleveland, OH.
As a Senior Data Engineer at PNC you will have the following responsibilities:
Key responsibilities -
- Design, Develop and maintain scalable and efficient data pipelines and ETL processes
- Collaborate with analysts and stakeholders to gather requirements and implement data solutions that meet business needs
- Proposes & designs data solutions to address complex business needs. Prepares technical and procedural documentation required.
- Participates in code reviews & testing
- Applies modern principles, methodologies, and tools to advance business initiatives and capabilities.
- Develop and manage data integrations between various systems , ensuring seamless data flow and consistency
- Optimize database and query performance to support analytical workloads
- Monitor and troubleshoot data workflows to ensuring data quality and integrity at all times
- Stay current with industry trends, technologies and best practices to continuously improve our data ecosystem
Skills-
- Experience with data pipelines and ETL - informatica
- Experience in SQL and database management systems
- Knowledge of data modelling , warehousing concepts , and ETL processes
- Experience with big data technologies and frameworks such as Hadoop, Hive, Spark. Programming experience in Python or Scala.
- Demonstrated analytical and problem-solving skills.
- Familiarity with cloud platforms (e.g Azure , AWS ) and their data related services
- Proactive and detail oriented professional with strong sense of ownership
- Creative problem solver who can tackle complex data challenges
- Mentor who can guide junior engineers and contributes to team growth
- Excellent problem solving communication and collaboration skills
- Ability to work in agile environment. Experience with effectively prioritizing and executing tasks in a high-pressure environment successfully
- Experience in Spark, Big Data, ETL and PythonPNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Leads in developing, supporting and implementing data solutions for multiple applications in order to meet business objectives and user requirements. Leverages technical knowledge and industry experience to design, build and maintain technology solutions.
  • Leads data requirement analysis and the data preparation process development for targeted data solutions.
  • Leads in designing and building data service infrastructure on multiple data platforms, according the workflow.
  • Oversees the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability.
  • Consults on data migration and transformation to ensure the accuracy and security of data solutions.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Python (Programming Language), Spark SQL, Structured Query Language (SQL)CompetenciesApplication Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving, Software Development Life CycleWork ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $91,000.00 - $202,800.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 06/05/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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