Ne04J - Graph DB Engineering developer/Architect
Phoenix, AZ · On-site
$72 - $75/hr
... developer/Architect Location: Phoenix, AZ (Hybrid) Employment Type: W2 Specialized Responsibilities ... from home options available.
Quick apply
Ne04J - Graph DB Engineering developer/Architect
Phoenix, AZ · On-site
$72 - $75/hr
... developer/Architect Location: Phoenix, AZ (Hybrid) Employment Type: W2 Specialized Responsibilities ... from home options available.
Test Automation Engineer
Phoenix, AZ · On-site
$76K - $90K/yr
Test Automation Engineer (Python + GenAI + LLMs) Location: Phoenix, AZ (Hybrid | Day 1 Onsite ... from home options available.
Quick apply
Test Automation Engineer
Phoenix, AZ · On-site
$76K - $90K/yr
Test Automation Engineer (Python + GenAI + LLMs) Location: Phoenix, AZ (Hybrid | Day 1 Onsite ... from home options available.
... exploit sensor signals to be used for calibrating and de-noising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Proficiency in using MATLAB or ...
... exploit sensor signals to be used for calibrating and de-noising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Proficiency in using MATLAB or ...
... exploit sensor signals to be used for calibrating and de-noising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Proficiency in using MATLAB or ...
... exploit sensor signals to be used for calibrating and de-noising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Proficiency in using MATLAB or ...
... exploit sensor signals to be used for calibrating and de-noising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Proficiency in using MATLAB or ...
... exploit sensor signals to be used for calibrating and de-noising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Proficiency in using MATLAB or ...
... exploit sensor signals to be used for calibrating and de-noising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Proficiency in using MATLAB or ...
... exploit sensor signals to be used for calibrating and de-noising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Proficiency in using MATLAB or ...
Civil Engineer PE
Phoenix, AZ · Hybrid
$125K - $135K/yr
Regional engineering firm with strong presence in Arizona and California is looking for a Civil PE ... Hybrid- work from home and office * Excellent benefits (medical, vision dental, disability, 401K ...
Quick apply
Civil Engineer PE
Phoenix, AZ · Hybrid
$125K - $135K/yr
Regional engineering firm with strong presence in Arizona and California is looking for a Civil PE ... Hybrid- work from home and office * Excellent benefits (medical, vision dental, disability, 401K ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... You will collaborate in all development phases from program start-up to live-fire testing, making ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... You will collaborate in all development phases from program start-up to live-fire testing, making ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... You will collaborate in all development phases from program start-up to live-fire testing, making ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... You will collaborate in all development phases from program start-up to live-fire testing, making ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... You will collaborate in all development phases from program start-up to live-fire testing, making ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... You will collaborate in all development phases from program start-up to live-fire testing, making ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... You will collaborate in all development phases from program start-up to live-fire testing, making ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... You will collaborate in all development phases from program start-up to live-fire testing, making ...
We're seeking a highly talented, motivated, and creative software developer to engineer new ... Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing ...
We're seeking a highly talented, motivated, and creative software developer to engineer new ... Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Practical experience in ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Practical experience in ...
We're seeking a highly talented, motivated, and creative software developer to engineer new ... Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing ...
We're seeking a highly talented, motivated, and creative software developer to engineer new ... Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git. * Subject Matter Expertise in ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git. * Subject Matter Expertise in ...
... and exploit signals to be used for calibration and de-noising of raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git. * Experience with performance ...
... and exploit signals to be used for calibration and de-noising of raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git. * Experience with performance ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Practical experience in ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Practical experience in ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Practical experience in ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git * Practical experience in ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git. * Subject Matter Expertise in ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git. * Subject Matter Expertise in ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git. * Subject Matter Expertise in ...
... exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting ... Experience with version control tools such as Azure DevOps and Git. * Subject Matter Expertise in ...
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$72 - $75/hr
Full-time
Re-posted 26 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 line–specific 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 organization’s 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
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 line–specific 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 organization’s 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.