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Volunteering Graph Database Jobs (NOW HIRING)

Qiagen

Bioinformatics Engineer, QDI

Redwood City, CA · On-site

$130K - $150K/yr

... such as graph databases (e.g., AWS Neptune, Neo4j). * Hands-on experience with biomedical ... Volunteer Day * Internal Academy (QIALearn) * Employee Assistance Program * Hybrid work ...

InterImage

AI/ML Software Developer

Arlington, VA · On-site

Exposure to knowledge graphs and graph databases (e.g., Neo4j) * Experience working in cloud ... voluntary life insurance available InterImage is an Equal Opportunity Employer. All qualified ...

QIAGEN

Bioinformatics Engineer, QDI

Redwood City, CA · On-site

$130K - $150K/yr

... such as graph databases (e.g., AWS Neptune, Neo4j). * Hands-on experience with biomedical ... Volunteer Day * Internal Academy (QIALearn) * Employee Assistance Program * Hybrid work ...

InterImage

AI/ML Software Developer

Arlington, VA

Exposure to knowledge graphs and graph databases (e.g., Neo4j) * Experience working in cloud ... voluntary life insurance available InterImage is an Equal Opportunity Employer. All qualified ...

Morningstar, Inc.

Software Engineer

Chicago, IL · On-site

$89K - $131K/yr

Experience with Amazon Neptune, graph databases, and Gremlin for modeling and querying taxonomy ... Paid volunteering days * 15+ Employee Resource & Affinity Groups Total Cash Compensation Range $89 ...

Logical Information Machines

Software Engineer

Chicago, IL · On-site

$89K - $131K/yr

Experience with Amazon Neptune, graph databases, and Gremlin for modeling and querying taxonomy ... Paid volunteering days * 15+ Employee Resource & Affinity Groups Total Cash Compensation Range $89 ...

Astreya

Network Automation Engineer II

Fremont, CA

$72K - $115K/yr

Experience with PHP or Hack (server-side scripting) Familiarity with graph databases or ... Critical Illness, Critical Hospital, and Voluntary Accident Insurance * Tuition Reimbursement ...

Emerging Threats Pro

Staff Software Engineer

Boston, MA · On-site

Experience with graph databases (Neptune, Neo4J, etc.) * Cloud experience (AWS, GCP, Azure, or ... Volunteer Days per year, plus a three-week Work from Anywhere option. Base Pay Ranges: SF Bay Area ...

Astreya

Network Automation Engineer II

Fremont, CA

$72K - $115K/yr

Experience with PHP or Hack (server-side scripting) Familiarity with graph databases or ... Critical Illness, Critical Hospital, and Voluntary Accident Insurance * Tuition Reimbursement ...

Astreya

Network Automation Engineer II

Denver, CO

$72K - $115K/yr

Experience with PHP or Hack (server-side scripting) Familiarity with graph databases or ... Critical Illness, Critical Hospital, and Voluntary Accident Insurance * Tuition Reimbursement ...

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Volunteering Graph Database information

See salary details

$54K

$109.5K

$161.5K

How much do volunteering graph database jobs pay per year?

As of Sep 2, 2026, the average yearly pay for volunteering graph database in the United States is $109,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $123,000.00 per year, depending on experience, location, and employer.

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.

More about Volunteering Graph Database jobs

What cities are hiring for Volunteering Graph Database jobs?

Cities with the most Volunteering Graph Database job openings:

What states have the most Volunteering Graph Database jobs?

States with the most job openings for Volunteering Graph Database jobs include:

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

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

Volunteering Graph Database jobs near you
Infographic showing various Volunteering Graph Database job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $109,451 per year, or $52.6 per hour.

Bioinformatics Engineer, QDI

Qiagen

Redwood City, CA • On-site

$130K - $150K/yr

Full-time

Medical, Vision, Life

Posted 19 days ago

Job description

Overview


At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible.

We're dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we've grown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We're always striving to identify talented individuals to join our exceptional teams.
We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you.

At QIAGEN, every day is an opportunity to make a real-life impact.

Join us, grow with us, and together, let's shape the future of biological discovery.

About the opportunity

QIAGEN Digital Insights is a leading provider of bioinformatics software and knowledge bases used by life scientists to gain insight from the molecular information in their biological samples. We have developed industry-leading software tools for analysis and reporting of biological data. We are passionate about our users, our products, and our vision, and are seeking smart, motivated engineers and scientists who are eager to join our team in creating software that helps improve people's lives.

Our mission is to make improvements in life possible. We accomplish this by designing tools used in labs all over the world to facilitate scientific discovery and progress, focused on genomics.


As a Bioinformatics Engineer in the Content Development team, you will play a critical role in maintaining and extending QIAGEN's biomedical knowledge base by integrating new knowledge from public data sources and facilitating capture of unstructured data into existing and new semantic models, as well as leveraging our Knowledge Graph to deliver data, interpretations, and inferences to our applications and customers. You will also contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and completeness of content delivered to our downstream application teams.
Your tasks include

  • Develop and maintain bioinformatics software tools and pipelines to ingest, transform, interpret, and export structured and unstructured biomedical data.

  • Maintain and extend a complex biomedical ontology spanning the entire range of biological entities and processes relevant to life science R&D and clinical genomics.

  • Collaborate with product management and application software developers to investigate new content sources related to product features and define requirements for content development projects.

  • Contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and reliability of the biomedical knowledge base and interpretation of content in the applications via a Quality Management System (QMS).

Your profile

  • Undergraduate degree in bioinformatics, genetics, molecular biology, or related field. Graduate degree preferred.

  • 3+ years of industry experience in bioinformatics, including experience writing production-quality code for bioinformatics tools and pipelines.

  • Strong software development fundamentals, with experience in multiple general-purpose programming languages, including Python, and comfort operating in a Linux environment. Competence with software engineering best practices such as version control, code review, unit and integration testing, documentation, and collaborative development.

  • Experience with multiple data modeling paradigms, including relational databases (SQL) and non-relational approaches such as graph databases (e.g., AWS Neptune, Neo4j).

  • Hands-on experience with biomedical ontologies and related technologies such as RDF and OWL.

  • Familiarity with bioinformatics tools in genome biomedical research (e.g., genomic databases, genome browsers, mutation repositories), or integrative data analysis as it relates to genetics, multiomics, cell biology, physiology and pathology.

The estimated base salary range for this position is $130,000 - $150,000. Compensation will be based on the candidate's experience, skills, geographic location, and other job-related factors. In addition to base salary, we offer a total compensation package that includes a bonus plan and generous benefits.

What we offer

  • Bonus/Commission

  • Local benefits

  • Referral Program

  • Volunteer Day

  • Internal Academy (QIALearn)

  • Employee Assistance Program

  • Hybrid work (conditional to your role)

Our people are the heartbeat of everything we do. Passion drives us as we push boundaries to innovate and evolve.We inspire with our leadership and make an impact with our actions.We cultivate a collaborative, supportive environment where each individual and team can flourish. We champion accountability and encourage entrepreneurial thinking.

QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability.

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