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Contract Neo4J Developer Jobs in Seattle, WA (NOW HIRING)

Contract Neo4J Developer information

What is a contract Neo4J developer?

Contract Neo4J Developers are professionals who specialize in building, maintaining, and optimizing applications using the Neo4J graph database, typically hired on a contract or freelance basis. They work with organizations to design and implement graph-based data models, write Cypher queries, and integrate Neo4J with other systems. Their expertise is valuable for projects involving complex relationships in data, such as recommendation engines, fraud detection, or network analysis. Contract developers provide flexibility for companies that need specialized skills for a specific period or project without committing to a full-time hire.

What are common challenges a contract Neo4J developer may face when integrating graph databases with existing systems?

As a Contract Neo4J Developer, one common challenge is ensuring seamless integration of Neo4J with legacy systems or traditional relational databases. This often requires a strong understanding of both graph database modeling and data migration strategies. Additionally, optimizing Cypher queries for performance and managing data consistency across platforms can be complex, especially in large-scale or real-time environments. Effective communication with backend developers and data engineers is essential to align on integration protocols and address any bottlenecks that arise.

What is the difference between Contract Neo4J Developer vs Graph Database Engineer?

AspectContract Neo4J DeveloperGraph Database Engineer
CredentialsProficiency in Neo4J, Cypher, and database fundamentalsNeo4J skills plus broader graph database knowledge and certifications
Work EnvironmentProject-based, client-specific, often freelance or contract rolesFull-time or consulting roles in organizations using graph databases
Industry UsagePrimarily in data analytics, knowledge graphs, and AI projectsIn enterprise data management, complex data modeling, and infrastructure

The Contract Neo4J Developer focuses on implementing and maintaining Neo4J graph databases for specific projects, often on a contract basis. In contrast, a Graph Database Engineer has a broader role, working with multiple graph database technologies and integrating them into larger systems. Both roles require strong knowledge of graph databases, but the Engineer typically has a wider scope and may hold additional certifications.

What skills and qualifications are needed to thrive as a contract Neo4J developer?

To thrive as a Contract Neo4J Developer, you need strong expertise in graph database concepts, proficiency in Cypher query language, and experience with data modeling, usually backed by a degree in computer science or related field. Familiarity with Neo4J tools, integrations with Java or Python, and deploying databases in cloud environments are typically required, along with knowledge of relevant certifications. Exceptional problem-solving, adaptability, and effective communication are crucial soft skills to collaborate with diverse teams and translate business needs into technical solutions. These skills ensure the delivery of efficient, scalable graph database solutions that meet project requirements and drive organizational insights.

What are popular job titles related to Contract Neo4J Developer jobs in Seattle, WA?

For Contract Neo4J Developer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Contract Neo4J Developer jobs in Seattle, WA look for?

The top searched job categories for Contract Neo4J Developer jobs in Seattle, WA are:

Capgemini Invent - Contextual Systems Engineer Consultant

Capgemini Invent

Seattle, WA • On-site

$72K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
About the Job You're Considering
At Capgemini Invent, the Data Driven Transformation (DDT) team helps organizations unlock the full value of their data and AI investments to drive meaningful, scalable change. As part of Capgemini's Strategy & Transformation Consulting practice, DDT partners with clients to shape data-centric strategies, modern operating models, and AI-enabled solutions that deliver measurable business outcomes.
Our unified team model brings together expertise across Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion , enabling seamless collaboration from strategy through execution. We work with leading organizations across industries including manufacturing, energy, consumer products, and life sciences to design future-ready capabilities and accelerate value realization.
The DDT team is recognized for:
  • Enabling Generative AI to improve efficiency and unlock new sources of innovation
  • Applying data and AI to sustainability and digital transformation initiatives
  • Designing scalable, reusable data and AI products
  • Delivering value quickly in complex, fast-moving environments

Your Role
As a Consultant, Contextual Systems , you will contribute to the design and delivery of AI-ready data and knowledge foundations that help enterprises bring business context to life. You will work within structured engagements, executing defined workstreams under senior guidance while quickly learning client environments and building domain and technical credibility.
In this role, you will help design and implement semantic layers, knowledge graphs, and context platforms that enable AI systems to understand enterprise data and processes more effectively. You will collaborate closely with senior consultants, architects, and client teams, contributing hands-on analytical and delivery output while developing your consulting skillset.
Key responsibilities include:
  • Building and configuring semantic layer components, including LookML models, dbt metrics, and dimension and measure definitions
  • Contributing to knowledge graph schema design and populating graph databases with domain-relevant data
  • Writing and testing data pipelines that feed context platforms with structured and unstructured data
  • Documenting semantic objects, context contracts, and data dictionaries for client use
  • Supporting discovery workshops focused on mapping enterprise data assets and knowledge flows
  • Assisting in the evaluation and configuration of knowledge and context platform tooling

Your Skills + Experience
Required:
  • 3-5 years of experience in data engineering, analytics engineering, or data architecture
  • Hands-on experience with dbt , SQL , and at least one cloud data platform (e.g., BigQuery, Snowflake, Redshift)
  • Understanding of semantic modeling concepts such as dimensions, measures, metrics, and hierarchies
  • Strong documentation skills and attention to data quality

Beneficial experience:
  • Familiarity with graph database concepts (Neo4j preferred)
  • Exposure to knowledge and context platforms, vector databases, or streaming technologies
  • Interest in how AI systems consume enterprise data and knowledge at scale

The base compensation range for this role in the posted location is: $72,000 - $136,000.00.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.