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Volunteering Graph Database Jobs in Pennsylvania

Aveva

Experienced Software Developer

Philadelphia, PA

$124K - $236K/yr

FSA and supplemental insurance; paid parental leave; 3 days paid volunteering; summer Fridays; ... Experience with graph technologies, including GraphRAG, graph databases, knowledge graphs ...

AVEVA

Experienced Software Developer

Philadelphia, PA · On-site

$124K - $236K/yr

FSA and supplemental insurance; paid parental leave; 3 days paid volunteering; summer Fridays; ... Experience with graph technologies, including GraphRAG, graph databases, knowledge graphs ...

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Volunteering Graph Database information

What is a volunteering graph database?

A volunteering graph database is a specialized type of database designed to store and manage data about volunteer opportunities, participants, organizations, and their relationships using graph structures. In this context, entities such as volunteers, events, and organizations are represented as nodes, while their connections—like participation or collaboration—are represented as edges. This approach allows for efficient querying of complex relationships, such as finding volunteers with specific skills or identifying collaborative networks among nonprofits. Graph databases are especially useful for matching volunteers to opportunities based on interests, location, or past involvement. Popular graph database systems include Neo4j and Amazon Neptune.

What are some common challenges faced when managing and querying a graph database for volunteering initiatives?

Professionals working with graph databases in the context of volunteering often face challenges such as modeling complex volunteer relationships, ensuring data quality as volunteer rosters frequently change, and optimizing queries for efficient matching between volunteers and opportunities. Additionally, integrating the graph database with other systems and safeguarding sensitive personal data can require careful planning. Team collaboration with program coordinators, IT, and data analysts is essential to adapt the database to evolving organizational needs and maximize its effectiveness.

What are the key skills and qualifications needed to thrive as a graph database developer in the volunteer sector, and why are they important?

To thrive as a Graph Database Developer in the volunteer sector, you need expertise in database design, data modeling, and query languages like Cypher or Gremlin, often backed by a computer science degree or equivalent experience. Familiarity with graph database systems such as Neo4j, Amazon Neptune, or OrientDB, and relevant certifications, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts to non-technical stakeholders are highly valuable. These abilities are crucial for efficiently managing complex volunteer data relationships, optimizing data retrieval, and supporting impactful community projects.

What is the difference between Volunteering Graph Database vs Data Analyst?

AspectVolunteering Graph DatabaseData Analyst
Required CredentialsBasic knowledge of graph databases, often self-taught or through online coursesBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentVolunteer projects, non-profit organizations, or open-source communitiesCorporate, consulting firms, or government agencies
Industry UsageNon-profit, research, or community-driven projectsBusiness, finance, healthcare, and marketing sectors
Common Search/ComparisonYesNo

While both roles involve working with data, a Volunteering Graph Database focuses on using graph database technology in volunteer or non-profit settings, often with minimal formal credentials. In contrast, a Data Analyst typically requires formal education and certifications, working in corporate environments to interpret data for strategic decisions.

What are popular job titles related to Volunteering Graph Database jobs in Pennsylvania?

For Volunteering Graph Database jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Volunteering Graph Database jobs in Pennsylvania look for?

The top searched job categories for Volunteering Graph Database jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Volunteering Graph Database jobs?

Cities in Pennsylvania with the most Volunteering Graph Database job openings:

Volunteering Graph Database jobs near you
Infographic showing various Volunteering Graph Database job openings in Pennsylvania as of June 2026, with employment types broken down into 2% As Needed, 54% Full Time, 33% Part Time, 7% Temporary, 2% Contract, and 2% Nights. Highlights an 61% Physical, 2% Hybrid, and 37% Remote job distribution.

Principal Scientist, Data Science - R&D DDSAI - Therapeutics Development & Supply (TDS)

Scorpion Therapeutics

Spring House, PA • On-site

$120 - $180/hr

Other

PTO

Posted 3 days ago

New

Job description

Position Summary:

Data Scientist – Data Engineer (R&D DDSAI – Therapeutics Development & Supply, TDS). Design, build, and optimize data capture, processing, and storage solutions enabling advanced analytics, digital transformation, and AI/ML across the development-to-supply continuum.

Key Responsibilities:
  • Design, build, and maintain scalable data pipelines integrating TDS data from lab systems, MES, clinical supply, quality systems, and external partners.
  • Create/optimize structured and unstructured data flows using Python, R, SQL, DBT, cloud services, and modern engineering tools.
  • Build and maintain TDS data repositories; implement enterprise data models.
  • Ensure AI/ML readiness (well-structured, versioned, traceable, semantically aligned data).
  • Partner with data scientists and domain experts to define data products and engineering requirements.
  • Implement semantic/knowledge graph models and future-proof architectures.
  • Establish data quality/performance standards; define KPIs (accuracy, completeness, consistency).
  • Apply data versioning and lineage for compliance, traceability, and audit readiness; follow DevOps, documentation, and code versioning best practices.
Qualifications:Required:
  • Advanced degree (Engineering/Data Science/Life Sciences/CS or related); advanced degree preferred.
  • 3+ years data engineering (data modeling/database design), preferably in scientific/manufacturing/healthcare.
  • Proficiency: Python, R, SQL; cloud architectures (e.g., AWS, Snowflake, Redshift).
  • Experience with NoSQL and graph databases.
  • Strong analytical/problem-solving and stakeholder management; translate needs into requirements.
Preferred:
  • Regulated/standards-driven data (CDISC, HL7, FHIR, OMOP, DICOM, manufacturing/quality).
  • High-dimensional data (imaging/sensor).
  • Knowledge of MLOps/model deployment workflows.
  • Manufacturing systems (MES), lab information systems, or industrial data systems.
  • Knowledge graph architecture experience.
Required Skills:
  • Advanced Analytics
  • Data Analysis
  • Data Quality
  • Data Reporting
  • Data Science
  • Data Visualization
  • Digital Fluency
  • Critical Thinking
  • Technical Credibility
  • Workflow Analysis
  • Data Privacy Standards
Preferred Skills:
  • Coaching
  • Data Savvy
  • Econometric Models
  • Organizing
  • Process Improvements
  • Strategic Thinking
Benefits (time off):
  • Vacation (120 hrs/yr)
  • Sick time (40 hrs/yr; CO/Washington varies)
  • Holiday pay incl. Floating Holidays (13 days/yr)
  • Work/Personal/Family Time (up to 40 hrs/yr)
  • Parental Leave (480 hrs/yr)
  • Bereavement Leave (240 hrs/yr immediate family; 40 hrs extended family)
  • Caregiver Leave (80 hrs in 52-week period)
  • Volunteer Leave (32 hrs/yr)
  • Military Spouse Time-Off (80 hrs/yr)
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