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Big Query Jobs in Arizona (NOW HIRING)

SRE with Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... composer, Big Query, Airflow, GCP hands-on experience is needed • Strong experience with Apache Spark for distributed data processing and real-time analytics • Advanced proficiency in Scala ...

GCP Engineer

Phoenix, AZ · 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 · 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 ...

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 ...

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. • ...

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 ...

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

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 ...

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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 Jul 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 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 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.

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:

$100K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


Job description

Role - SRE with Data Engineer
Experience Required - 8+ Years
Must Have Technical/Functional Skills
• In-depth knowledge of the Hadoop ecosystem, including HDFS, MapReduce, Spark , Scala , Hive
• Expertise in Hive for data warehousing and querying large datasets.
• Cloud composer, Big Query, Airflow, GCP handson experience is needed.
• 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 , Springboot
• Strong SQL skill.
Roles & Responsibilities
• Architect 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.
Base Salary Range : $100,000 to $125,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.