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Contract Knowledge Graph Software Engineer Jobs in Phoenix, AZ

Software Engineer

Phoenix, AZ · On-site

$38 - $41/hr

Contingent / Contract Experience Level: Mid-Senior (5+ Years) About the Role As a Data Engineer ... Strong knowledge of Hadoop ecosystem technologies, including: * Hive * HDFS * Parquet * Apache ...

Software Engineer Sr

Phoenix, AZ

$121K - $160K/yr

... Graph where applicable. Create and enhance Power Apps, Power Automate flows, and other Power ... Working knowledge of Power Platform pipelines and environment promotion practices. Proficiency with ...

... Engineering Consultant. The specific duties for this position will include but will not be limited to the following: Contract Knowledge Reviewing and Approving Payment Reports/Invoices Accounting ...

... Engineering Consultant Section of Client. The specific duties for this position will include but will not be limited to the following: Contract Knowledge Reviewing and Approving Payment Reports ...

Software Engineer

Chandler, AZ · On-site

$64 - $69/hr

Contract / Contingent Worker About the Role We are seeking an experienced Software Engineer to ... Apply knowledge of engineering best practices, policies, procedures, and compliance requirements to ...

Contract We are seeking a talented Software Engineer to join an innovative team focused on building ... Knowledge of OpenTelemetry, metrics collection, logging, and observability . * Strong problem ...

New

Software Engineer

Chandler, AZ · On-site

$49 - $53/hr

Knowledge of modern software development practices, tools, and methodologies. * Strong ... Work Location Chandler, AZ Employment Type Contingent / Contract Assignment Vendor Program: Q3 2026 ...

Software Engineer

Phoenix, AZ · On-site

$53 - $57/hr

Contract (12 Months, with Potential Extension or Conversion) Line of Business: Technology ... Knowledge of cloud-native architecture patterns and containerization technologies. * Experience ...

Be Seen First

Senior Software Engineer - Scottsdale, AZ (Hybrid) Alexander Group: The Go-to-Market Consulting ... Knowledge of Microsoft Graph is essential. * Experience working with Azure for cloud-based ...

New

Contract Interview Type: Final round will be in person Interview at client location. Detailed JD: * 8+ years of Software Engineering experience, * 5+ years of experience in Application Development ...

Agentic Software Engineer III (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Working knowledge of Azure AI Foundry, RAG, LangChain, and graph-based data technologies (GraphRAG ...

... onsite) Job Type: - Contract Note: Need 10+ years of experience consultants. Core Skill ... GraphQL knowledge is good to have but not mandatory. AI / Conversational Platform Exposure: * Good ...

Avionics Software Engineer

Phoenix, AZ · Hybrid

$100K - $185K/yr

The role can be supported as direct full-time or contract (W2) *Hybrid work schedule (2-3 days per ... · Working knowledge of DO-178B/C processes and standards. · Due to the nature of the work ...

Agentic Software Engineer III (Phoenix, AZ) arrivia Phoenix, AZ Full-time About arrivia arrivia ... Working knowledge of Azure AI Foundry, RAG, LangChain, and graph-based data technologies (GraphRAG ...

Senior Agentic Software Engineer (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Working knowledge of Azure AI Foundry, RAG, LangChain, and graph-based data technologies (GraphRAG ...

Java Software Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

Contract Length: 12 months (strong chance for extension) Interview Process - 2-3 rounds. They move ... Strong knowledge of software design patterns and best practices. * Experience with containerization ...

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Contract Knowledge Graph Software Engineer information

See Phoenix, AZ salary details

$63K

$146.5K

$204K

How much do contract knowledge graph software engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for contract knowledge graph software engineer in Phoenix, AZ is $146,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $171,800.00 per year, depending on experience, location, and employer.

What is a contract knowledge graph software engineer?

A Contract Knowledge Graph Software Engineer is a professional who specializes in designing, developing, and maintaining knowledge graphs on a contract basis. Knowledge graphs are data structures that represent relationships between entities, enabling more effective data integration and semantic search. These engineers often work with graph databases, semantic web technologies, and ontologies to help organizations manage and leverage complex data. Their contract role means they are typically hired for specific projects or fixed periods rather than as permanent employees.

What are the key skills and qualifications needed to thrive as a contract knowledge graph software engineer?

To thrive as a Contract Knowledge Graph Software Engineer, you need a strong background in computer science, proficiency in graph databases (such as Neo4j or Amazon Neptune), and experience with knowledge representation and data modeling. Familiarity with programming languages like Python or Java, as well as tools for semantic web technologies (RDF, SPARQL), is typically required. Strong problem-solving skills, adaptability, and effective collaboration are essential soft skills in this role. These competencies ensure efficient design and implementation of complex knowledge graphs, enabling organizations to unlock valuable insights from their data.

How does a contract knowledge graph software engineer typically collaborate with data scientists and domain experts during a project?

As a Contract Knowledge Graph Software Engineer, you’ll often work closely with data scientists and domain experts to ensure that the knowledge graph accurately represents the underlying data and business logic. Collaboration usually involves regular meetings to clarify requirements, discuss data models, and review results. You may be tasked with translating complex domain concepts into graph structures, while also providing feedback on data quality and integration challenges. This cross-functional teamwork ensures that the final product meets both technical standards and business needs.

What is the difference between Contract Knowledge Graph Software Engineer vs Contract Data Engineer?

AspectContract Knowledge Graph Software EngineerContract Data Engineer
Required CredentialsBachelor's in CS or related, knowledge of graph databases, programming skillsBachelor's in CS, experience with data pipelines, SQL, and cloud platforms
Work EnvironmentTech companies, consulting firms, project-based rolesData-focused teams, cloud environments, analytics projects
Industry UsageAI, semantic web, knowledge managementData warehousing, big data, analytics

The Contract Knowledge Graph Software Engineer primarily focuses on developing and maintaining knowledge graphs using graph databases and semantic technologies, while the Contract Data Engineer concentrates on building data pipelines, managing large datasets, and supporting analytics. Both roles require strong programming skills and are often found in tech-driven industries, but they serve different core functions within data and knowledge management ecosystems.

What are the most commonly searched types of Knowledge Graph Software Engineer jobs in Phoenix, AZ?

The most popular types of Knowledge Graph Software Engineer jobs in Phoenix, AZ are:

Software Engineer 2

Phoenix, AZ • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees

$96K - $132K/yr

Other

Posted 11 days ago


Job description

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer 2 in Phoenix, AZ (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Required Skills & Experience
  • 2+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
  • 5+ years of experience in data engineering including hands-on experience working with Hadoop and Google Cloud data solutions: creating/supporting Spark based processing, Kafka streaming, in a highly collaborative team
  • 2+ years of hands-on experience developing data flows using Kafka, Flink, and Spark streaming
  • 3+ years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Apache Kafka, Airflow, and SQL, GPC Cloud Storage, BigQuery, Data Proc, Cloud Composer
  • 2+ years working with NoSQL databases such as columnar databases, graph databases, document databases, KV stores, and associated data formats
  • Public cloud certifications such as Google Cloud Platform Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics
Desired Skills & Experience
  • Proven skills with data migration from on-prem to a cloud native environment
  • Proven experience working with the Hadoop ecosystem capabilities such as Hive, HDFS, Parquet, Iceberg, and Delta Tables
  • Deep understanding of data warehouse, data cloud architecture, building data pipelines, and orchestration
  • Design and implementation of highly scalable and modular data pipelines with built-in data controls for automating data governance
  • Familiarity of GenAI frameworks such as Langchain and Langraph to develop agent-based data capabilities
  • Dev Ops and CI/CD deployments including Git, Jenkins, Docker, and Kubernetes
  • Web based UI development using React and Node JS is a plus

What You Will Be Doing
  • Participate in low to moderately complex initiatives and identify opportunity for process improvements within Software Engineering.
  • Review and analyze basic or tactical Software Engineering assignments or challenges that require research, evaluation, and selection of alternatives, related to low-to-medium risk deliverables.
  • Present recommendations for resolving low to moderately complex situations and exercise some independent judgment while developing understanding of function, policies, procedures, and compliance requirements.
  • Provide information to client personnel in Software Engineering.