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Graph Database Jobs in Boston, MA (NOW HIRING)

Familiarity with data lake storage frameworks such as Delta Lake and graph databases such as AWS Neptune or Neo4j. * Experience developing REST APIs using frameworks such as Flask, Django, or FastAPI.

Principal Software Engineer

Boston, MA · On-site

$152K - $228.50K/yr

Familiarity with data lake storage frameworks such as Delta Lake and graph databases such as AWS Neptune or Neo4j. * Experience developing REST APIs using frameworks such as Flask, Django, or FastAPI.

Senior ML Engineer - Agentic AI

Waltham, MA · On-site

$112.70K - $154.80K/yr

Integrate agents with external services - REST APIs, vector stores, graph databases, and internal SDKs - through well-defined MCP interfaces. CI/CD Pipeline * Containerize and deploy production-grade ...

Software Engineering Manager- Hybrid

Newton, MA · On-site

$146.81K - $167.10K/yr

Graph databases; • DevOps best practices covering code deployment, CI/CD and Agile delivery; • Gathering and analyzing project requirements and translating them into technical specifications; • ...

Software Engineering Manager- Hybrid

Newton, MA · On-site +1

$146.81K - $167.10K/yr

Graph databases; DevOps best practices covering code deployment, CI/CD and Agile delivery; Gathering and analyzing project requirements and translating them into technical specifications; Designing ...

Principal Software Engineer

Cambridge, MA · On-site

$148.70K - $199.40K/yr

MongoDB, Cassandra, DynamoDB, or similar. • Experience with graph databases (Neo4j) for modeling and searching complex relationships. • Experience with vector databases / embeddings ...

Knowledge and experience in network and graph based analytics techniques including graph databases * Functional knowledge of Azure Cloud Platform such as Azure ML and Data Factory * Ability to ...

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Graph Database information

See Boston, MA salary details

$28

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$87

How much do graph database jobs pay per hour?

As of May 30, 2026, the average hourly pay for graph database in Boston, MA is $57.71, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $65.29 per hour, depending on experience, location, and employer.

What is a Graph Database job?

A Graph Database job typically involves working with graph-based database technologies such as Neo4j, ArangoDB, or Amazon Neptune. Professionals in this role design, implement, and optimize graph database models to efficiently store and retrieve complex relationships between data points. Common responsibilities include data modeling, query optimization using graph query languages (e.g., Cypher, Gremlin), and integrating graph databases into larger data ecosystems. These roles are often found in industries like fraud detection, social networking, and recommendation systems, where understanding relationships between data is crucial.

What are the key skills and qualifications needed to thrive in the Graph Database position, and why are they important?

To thrive as a Graph Database Engineer, you need expertise in data modeling, query languages such as Cypher or Gremlin, and a solid understanding of graph theory and database architectures. Familiarity with graph database platforms like Neo4j, Amazon Neptune, or TigerGraph, as well as certifications in relevant technologies, are highly valued. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating with development and analytics teams. These competencies are vital for designing efficient graph data solutions, optimizing performance, and supporting business insights through connected data analysis.

What are some common challenges faced by professionals working with graph databases?

One common challenge when working with graph databases is efficiently modeling highly connected data structures to optimize for both query performance and scalability. Professionals must continuously evaluate indexing strategies and traversal queries to prevent bottlenecks as datasets grow. Another challenge is integrating graph databases with existing data pipelines or relational systems, which often requires specialized knowledge. However, these challenges offer opportunities to innovate and collaborate with cross-functional teams to deliver powerful solutions for complex data relationships.
What are popular job titles related to Graph Database jobs in Boston, MA? For Graph Database jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Graph Database jobs in Boston, MA look for? The top searched job categories for Graph Database jobs in Boston, MA are:
What cities near Boston, MA are hiring for Graph Database jobs? Cities near Boston, MA with the most Graph Database job openings:
Infographic showing various Graph Database job openings in Boston, MA as of May 2026, with employment types broken down into 1% As Needed, 43% Full Time, 12% Part Time, 4% Temporary, 39% Contract, and 1% Nights. Highlights an 35% Physical, 20% Hybrid, and 45% Remote job distribution, with an average salary of $120,035 per year, or $57.7 per hour.
Principal Software Engineer

$152K - $228.50K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago


Job description

Recorded Future is seeking a Principal Software Engineer to join our Engineering team, responsible for building and scaling the pipelines that power the Security Intelligence Graph. As a Principal Software Engineer, you will work across application code and infrastructure to collect, transform, and deliver structured threat data: tracking malware infrastructure, phishing campaigns, spam networks, command-and-control systems, and more. You will play a key role in driving architectural improvements and ensuring the platform scales effectively as it continues to grow.

What You'll Do:
  • Data Pipeline Ownership: Design, build, and maintain scalable data pipelines that collect, transform, and deliver structured threat intelligence data powering the Security Intelligence Graph.
  • Architecture & Scalability: Drive meaningful architectural improvements across data and platform systems to ensure long-term scalability, reliability, and performance.
  • Full-Stack Engineering: Work across both application code and infrastructure, contributing to backend services, data systems, and platform capabilities.
  • Data Processing & Analysis: Apply statistical techniques to large-scale datasets to generate accurate and impactful insights.
  • Reliability & Observability: Ensure production-grade pipeline reliability through strong observability, error handling, and failure recovery practices.
  • Infrastructure & Deployment: Build and maintain CI/CD pipelines and contribute to infrastructure-as-code practices to support efficient and repeatable deployments.
  • Cross-Team Collaboration: Communicate technical concepts clearly and collaborate effectively across teams, geographies, and varying levels of technical expertise.
  • Technical Leadership: Engage with technical leaders across teams and contribute to raising the engineering bar through knowledge sharing and best practices.
What You'll Bring:
  • At least 5 years of experience in data engineering, backend engineering, or platform engineering.
  • Strong proficiency in Python, with experience in Go or Rust considered a plus.
  • Experience working with cloud infrastructure, including compute, storage, networking, and IAM fundamentals.
  • Hands-on experience with message queues and pub/sub systems such as Kafka or RabbitMQ.
  • Experience with SQL databases such as Postgres or AWS RDS, and NoSQL databases such as MongoDB or Elasticsearch.
  • Familiarity with data lake storage frameworks such as Delta Lake and graph databases such as AWS Neptune or Neo4j.
  • Experience developing REST APIs using frameworks such as Flask, Django, or FastAPI.
  • Proven experience architecting and delivering production-grade applications and ETL/ELT pipelines.
  • Strong understanding of building reliable data pipelines, including observability, error handling, and failure recovery.
  • Experience building and maintaining CI/CD pipelines; GitHub Actions experience is a plus.
  • Familiarity with infrastructure-as-code tools; Terraform experience is a plus.
  • Comfort working with high-volume, complex, and unstructured data.
  • Strong problem-solving skills, including the ability to debug both software and data issues.
  • Excellent attention to detail and ability to work independently while delivering high-quality results.
  • Interest in or familiarity with security data domains such as threat infrastructure, malware, or network telemetry.
  • Bachelor's and/or Master's degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience.
Preferred Qualifications:
  • Experience or interest in cybersecurity data domains such as malware analysis, phishing detection, or network telemetry.
  • Experience working with graph-based data systems or security intelligence platforms.

The base salary range for this full-time position is $152,000-$228,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.