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The Graph Group Jobs (NOW HIRING)

Point72

Data Engineer, Knowledge Graph

New York, NY

$125K - $150K/yr

... the leaders in our group were promoted from within. What you'll do As a Data Engineer, you will ... Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction ...

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

... the leaders in our group were promoted from within. What you'll do As a Data Engineer, you will ... Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction ...

Amazon

Senior PMT-ES, Timestream, Amazon Timestream

Seattle, WA · On-site

$144K - $190K/yr

... the graph database products. A senior PMT achieves this growth by shaping and leading product ... About the team This team is a diverse group of product managers, engineers, managers, scholars, and ...

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$25K

$88.9K

$149K

How much do the graph group jobs pay per year?

As of Jun 11, 2026, the average yearly pay for the graph group in the United States is $88,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Graph Database Engineer, and why are they important?

To thrive as a Graph Database Engineer, you need strong knowledge of database design, query languages (such as Cypher or Gremlin), and a background in computer science or a related field. Familiarity with graph database platforms like Neo4j, Amazon Neptune, or Microsoft Azure Cosmos DB, as well as relevant certifications, is essential. Analytical thinking, problem-solving, and effective communication are soft skills that set top performers apart in this role. These skills and qualities are critical for efficiently modeling complex relationships, optimizing data retrieval, and collaborating with development teams to drive business insights.

What types of projects and collaborations can I expect as a team member at The Graph Group?

As a member of The Graph Group, you can expect to work on a variety of data-driven projects, often focusing on indexing blockchain data and building scalable, decentralized applications. Team members frequently collaborate cross-functionally with engineers, product managers, and community developers to design and implement new features, optimize data indexing, and ensure network reliability. The work environment encourages open communication and knowledge sharing, making it a great place to learn from domain experts while contributing to impactful, innovative solutions. You'll also engage with the broader blockchain community, helping to shape the future of decentralized data access.

What is The Graph Group?

The Graph Group is a team or organization involved with The Graph, a decentralized protocol for indexing and querying blockchain data. The Graph Group may refer to the collective of professionals, developers, or contributors who work on improving and maintaining The Graph's ecosystem. Their work helps make it easier for decentralized applications (dApps) to efficiently access blockchain data. The group typically collaborates on protocol updates, community engagement, and supporting developers building on The Graph. Being part of The Graph Group often involves technical expertise in blockchain technology and a commitment to open-source principles.
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The Graph Group jobs near you
Infographic showing various The Graph Group job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 96% Part Time, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $88,946 per year, or $42.8 per hour.
Project Manager - Knowledge Graph Group

Project Manager - Knowledge Graph Group

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Project Manager - Knowledge Graph Group
Location
New York
Business Area
Data
Ref #
10050188
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining domain and technical expertise to make data fit-for-purpose, timely, and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
The Role
As part of the Data Management and Operations (DMO) department, we're responsible for supporting the development, enablement and implementation of data management best practices that enable the delivery of "ready-to-use" data. As a Project Manager, you will be a technical leader across the organization, solving problems and devising solutions for data challenges.
You will orchestrate the work across the various teams of the group-from inception and modeling, through integration into the Semantic Platform and BQL, and beyond to engineering implementation in user-facing terminal applications. You are expected to navigate through unknowns and ambiguity while driving decisions and solutions that ensure technical alignment across the program of work. A key focus of this role is to modernize our workflows by helping to champion AI inclusion, moving the organization toward higher levels of automation, system efficiency, and improved process and collaboration speed.
We'll Trust You To:*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
  • Enable Technical Discussions: Facilitate high-level technical discussions to ensure alignment with system design, scalability, and best practices.
  • Champion AI & Automation: Identify and advocate for the inclusion of AI and Machine Learning within the data lifecycle to automate manual processes and increase overall system, process, and collaboration efficiency.
  • Ensure System Alignment & Deduplication: Audit existing data models and infrastructure to promote interoperability and prevent the redundant creation of pipelines where existing architectures should be utilized.
  • Orchestrate Technical Delivery: Coordinate the work of ontologists, platform integration engineers, data practitioners, and software engineers to ensure that commitments to users are realistic and met.
  • Design Interconnected Models: Develop interconnected data models and knowledge organization structures (taxonomies/ontologies) that elegantly conceptualize knowledge across multiple domains.
  • Manage Complex Programs: Lead the planning, execution, and delivery of complex, cross-functional programs, ensuring all milestones and deliverables are met on time and in-scope.
  • Bridge Product and Technical Leadership: Act as the primary link between product owners, technical leads, and individual contributors, keeping all parties aligned with the goal and removing obstacles to collaboration.

You'll Need to Have:
  • Stakeholder Management: Proven experience managing multiple stakeholders, deadlines, and competing priorities across a complex organization.
  • Technical Mastery: An appreciation of data management, including data modeling, metadata management, and the software development life cycle (SDLC).
  • System Design & Delivery: Demonstrated ability to translate business requirements into program objectives and work across teams to deliver on the design.
  • Communication: Excellence in communicating complex technical topics (including AI/ML concepts) with appropriate scope to varying audiences, from leadership to individual contributors.

We'd Love to See:
  • AI/ML Inclusion: Experience identifying use cases for Large Language Models (LLMs) or Generative AI to enhance data discovery, classification, or metadata generation.
  • Technical Tooling: Experience with collaborative platforms such as MIRO and JIRA, and a passion for championing new collaborative tools (AI-assisted or otherwise) to improve team efficiency and transparency.
  • Semantic Technology Exposure: Knowledge of metadata systems, semantic technologies, linked data, and/or knowledge graphs.
  • Industry Standards: Understanding of Data Governance and Data Management, supported by industry certifications such as DAMA CDMP or DCAM.
  • FAIR Principles: Ability to enable the capture and storage of Bloomberg data in a manner that is findable, accessible, interoperable, and reusable.

Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Salary Range = 110,000 - 140,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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