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Big Query Jobs in Arizona (NOW HIRING)

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 ...

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 ...

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 ...

Evaluate overall departmental performance by creating, gathering (Big Data query writing & management), analyzing and interpreting data and metrics as well as assisting in development of departmental ...

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 ...

Senior Data Engineer

Phoenix, AZ ยท Remote

$8.5K/mo

... for big data,business intelligence, reporting, visualization,and analytics. * Hands-on ... SQL query planning and optimization for incremental and historical workloads * File manipulation ...

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 ...

Senior Data Engineer

Phoenix, AZ ยท On-site +1

$8.5K - $9.5K/mo

... big data, business intelligence, reporting, visualization, and analytics. * Hands-on experience ... SQL query planning and optimization for incremental and historical workloads * File manipulation ...

Senior Data Engineer

Phoenix, AZ ยท On-site

$8.5K - $9.5K/mo

... big data, business intelligence, reporting, visualization, and analytics. * Hands-on experience ... SQL query planning and optimization for incremental and historical workloads * File manipulation ...

Experience integrating graph platforms with big data ecosystems (Spark, Kafka, etc.) and cloud-native services * Strong understanding of query optimization, indexing, and graph performance tuning

Experience integrating graph platforms with big data ecosystems (Spark, Kafka, etc.) and cloud-native services * Strong understanding of query optimization, indexing, and graph performance tuning

senior java developer

Arizona City, AZ ยท On-site

$57.75 - $73.50/hr

... Expertise in Query optimization. Experienced in design and connectivity of the Database using ... Big data experience. * Teamwork & collaboration skills to work across organizations and lead cross ...

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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:

Ne04J - Graph DB Engineering developer/Architect

TECHOAUTH SOLUTIONS LLC

Phoenix, AZ โ€ข On-site

$72 - $75/hr

Full-time

Posted 16 days ago


Job description

Job Title: Ne04J - Graph DB Engineering developer/Architect
Location: Phoenix, AZ (Hybrid)
Employment Type: W2
Specialized Responsibilities
Serve as a key contributor in designing and delivering graph data solutions, partnering with stakeholders to translate business needs into connected data models and graph architectures.
Engineer and maintain Neo4j graph databases alongside relational and non-relational systems to support hybrid data environments
Develop and operationalize relationship-based data models, including nodes, edges, and properties aligned to enterprise business domains
Design and implement knowledge graphs and connected data platforms that unify disparate data sources and expose relationships across systems.
Build and optimize graph ingestion pipelines for batch and streaming data sources, ensuring data freshness and integrity
Develop mechanisms and architectures to support business linespecific use cases.
Establish standards and best practices for graph modeling, schema evolution, and governance within the enterprise data ecosystem.
Review and manage interfaces supporting graph data access, including APIs, visualization tools, and analytics platforms.
Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration.
Preferred Technical Expertise
Deep expertise in Neo4j platform capabilities, including clustering, security, and enterprise deployment patterns
Experience in graph data modeling and ontology design for complex enterprise datasets
Knowledge of connected data architecture patterns, including knowledge graphs and data fabrics
Experience integrating graph platforms with big data ecosystems (Spark, Kafka, etc.) and cloud-native services
Strong understanding of query optimization, indexing, and graph performance tuning
Experience with data ingestion frameworks supporting both batch and real-time pipelines
Proficiency in Python
Preferred Qualifications
10+ years of experience in data engineering, including leading engineers and technical teams
Proven experience implementing Neo4j in enterprise environments
Familiarity with machine learning and AI techniques leveraging graph data
Experience working in Agile environments and leading cross-functional delivery teams
Experience with visualization and BI tools for graph-derived insights (e.g., KeyLines, Bloom)
Modernization and Architecture Expectations
Advance the organizations data architecture toward connected, relationship-driven models, complementing existing platforms
Establish graph-first design patterns where relationship complexity drives business value
Integrate Neo4j into the broader enterprise data ecosystem (cloud, lakehouse, streaming platforms)
Promote adoption of knowledge graphs and semantic modeling to improve interoperability and reuse
Implement scalable, resilient graph data platforms aligned with enterprise security and compliance standards
Standardize graph engineering practices, including modeling guidelines, performance tuning, and operational monitoring
Partner with architecture leadership to define the future-state connected data vision, aligned with digital and AI strategies

Flexible work from home options available.