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Mongodb Consulting Engineer Jobs (NOW HIRING)

Consulting Engineer Role Overview: As a Consulting Engineer at Neo4j, you will work closely with ... Familiarity with Snowflake or Databricks, and NoSQL/Relational providers such as MongoDB, Couchbase ...

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With over 1500 global employees, Microexcel's core portfolio offering includes strategic consulting ... Title: DevOps with MongoDB - Full-Time Location: Creve Coeur, MO Stats: GC or CTZN Annual Salary:

With over 1500 global employees, Microexcel's core portfolio offering includes strategic consulting ... Title: DevOps with MongoDB - Full-Time Location: Creve Coeur, MO Stats: GC or CTZN Annual Salary:

At MongoDB we are transforming industries and empowering developers to build amazing AI/ML-powered ... consulting to proactively build security controls * Serve as a security subject matter expert for ...

At MongoDB we are transforming industries and empowering developers to build amazing AI/ML-powered ... consulting to proactively build security controls * Serve as a security subject matter expert for ...

At MongoDB we are transforming industries and empowering developers to build amazing AI/ML-powered ... consulting to proactively build security controls * Serve as a security subject matter expert for ...

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Mongodb Consulting Engineer information

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How much do mongodb consulting engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for mongodb consulting engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

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

To thrive as a MongoDB Consulting Engineer, you need expertise in database design, performance tuning, and proficiency with MongoDB, often supported by a background in computer science or related technical fields. Familiarity with tools like MongoDB Atlas, Compass, and shell scripting, as well as certifications such as MongoDB Certified DBA or Developer, are highly beneficial. Outstanding problem-solving skills, client communication abilities, and adaptability help you excel when working directly with customers and diverse technical environments. These skills ensure you can deliver optimized solutions, support client success, and drive effective adoption of MongoDB technologies.

What is the difference between Mongodb Consulting Engineer vs Mongodb Developer?

AspectMongodb Consulting EngineerMongodb Developer
Primary FocusProviding expert guidance, architecture design, and implementation support for MongoDB solutionsWriting, testing, and maintaining application code that interacts with MongoDB
Required SkillsMongoDB architecture, consulting, troubleshooting, deployment, and performance tuningMongoDB query language, application development, coding, and database integration
Work EnvironmentClient sites, consulting firms, or enterprise environmentsDevelopment teams, software projects, and application environments
CertificationsMongoDB Certified DBA or Developer often preferredMongoDB Certified Developer or similar certifications

The main difference is that a Mongodb Consulting Engineer focuses on advising and supporting organizations with MongoDB architecture and deployment, while a Mongodb Developer primarily writes code and develops applications that utilize MongoDB. Both roles require MongoDB certifications and technical expertise, but their day-to-day tasks and objectives differ significantly.

What types of projects and industries do MongoDB Consulting Engineers typically work with, and how does this diversity impact their daily responsibilities?

MongoDB Consulting Engineers often engage with a wide range of clients across industries such as finance, healthcare, retail, and technology. This diversity means that daily responsibilities can vary significantly—one day might involve designing a data migration plan for a fintech company, while another could focus on optimizing performance for an e-commerce platform. Working in this role requires adaptability and strong problem-solving skills, as each client presents unique technical challenges. This variety also provides opportunities to continuously learn and deepen expertise in database technologies while collaborating closely with client development teams and internal MongoDB experts.

What is a MongoDB Consulting Engineer?

MongoDB Consulting Engineers are specialized professionals who help organizations design, implement, optimize, and troubleshoot MongoDB database systems. They work closely with clients to understand their technical requirements, recommend best practices, and ensure database solutions are scalable, secure, and efficient. Consulting Engineers may also assist with data migration, performance tuning, and training teams on how to use MongoDB effectively. Their expertise helps businesses maximize the value and reliability of their MongoDB deployments.
More about Mongodb Consulting Engineer jobs
What states have the most Mongodb Consulting Engineer jobs? States with the most job openings for Mongodb Consulting Engineer jobs include:
What job categories do people searching Mongodb Consulting Engineer jobs look for? The top searched job categories for Mongodb Consulting Engineer jobs are:
Infographic showing various Mongodb Consulting Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Consulting Engineer

Neo4j

San Mateo, CA • Remote

Full-time

Posted 3 days ago

New


Job description

Job Title: Consulting Engineer

Role Overview: As a Consulting Engineer at Neo4j, you will work closely with enterprise customers to  implement graph-powered solutions, contributing to all phases of the Neo4j implementation within their projects, from inception to roll-out. Partnering with customer engineering teams and Neo4j Principal/Senior Consulting Engineers, you will design graph data models, and help deliver successful Neo4j implementations from initial design through to production deployment. You will act as a trusted technical advisor during consulting engagements, working hands-on with Neo4j technology while helping customers adopt best practices for graph data modeling, application development, and modern AI-powered data architectures. You will also help customers solve complex data and analytics challenges by applying graph technology to deliver practical, production-ready solutions.

Key Responsibilities:
  • Work closely with customer engineering teams to lead and contribute to Neo4j implementations across the full project lifecycle, from initial design through to production roll-out
  • Act as the technical subject matter expert on consulting engagements, providing hands-on guidance and technical leadership for succeeding with Neo4j technology
  • Design and implement graph data models that represent complex relationships and support high-performance querying and analytics
  • Architect and build solutions that meet both functional and non-functional requirements using Neo4j
  • Support modern data and AI architectures by structuring graph data to enable advanced analytics, search, and emerging AI patterns such as RAG
  • Collaborate with customer AI and data teams to integrate Neo4j into modern orchestration frameworks such as LangChain or LlamaIndex
  • Provide guidance to customers on best practices for Data Engineering, focusing on optimizing data ingestion patterns into Neo4j.
  • Develop solution architectures that address the technical requirements of customer projects
  • Translate complex technical concepts into clear guidance for customer engineers and stakeholders
  • Contribute to solution proposals, level of effort assessments, SOWs and technical recommendations for customer engineering and leadership teams
  • Train and mentor customer teams on Neo4j best practices and graph development techniques
  • Work collaboratively with Neo4j sales, sales engineering and support teams to ensure successful customer outcomes
  • Travel may be required depending on customer engagement needs
Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree is a plus).
  • 3+ years of experience designing and developing enterprise-class applications, with a focus on data-driven or analytics-focused systems
  • Strong experience in data modelling and designing data structures for complex applications, with familiarity across relational, NoSQL, or graph databases
  • Experience designing scalable software architectures and working within modern application development environments
  • Practical experience data engineering and structuring and optimizing data for modern search, analytics, or AI-driven applications
  • Competence and hands-on experience in at least one of the following languages: Java, JavaScript, Python, Go, or C#
  • Experience deploying applications on modern platforms such as Linux, Docker, or Kubernetes
  • Familiarity with source control and development workflows using tools such as Git
  • Strong problem-solving skills with the ability to work independently as well as collaboratively within a team
  • Excellent written and verbal communication skills, with the ability to clearly explain technical concepts in customer settings
  • Confidence presenting technical solutions and building strong customer relationships
  • Ability to work independently in a remote, cross-functional organization
  • Curiosity and enthusiasm for learning new technologies and development approaches
  • Willingness to travel to client sites as needed.

Bonus Points:

  • 2+ years working in a consultative capacity in a Professional Services organisation
  • Industry experience in Financial Services, Life Sciences, Manufacturing, Technology
  • Experience working with graph databases such as Neo4j, TigerGraph, JanusGraph, or similar technologies
  • Familiarity with Snowflake or Databricks, and NoSQL/Relational providers such as MongoDB, Couchbase, or Teradata.
  • Experience in data science related projects and packages e.g. SciLearn, Keras, TensorFlow etc
  • Experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform