{"schemaVersion":"jobsearcher.job.v1","id":"2a31f867775005f8d1659e39","url":"https://jobsearcher.com/jobs/2a31f867775005f8d1659e39","canonicalUrl":"https://jobsearcher.com/jobs/2a31f867775005f8d1659e39","title":"MongoDB Engineer","description":"MongoDB Engineer RemoteLooking for a highly skilled MongoDB Engineer with a strong background in developing highly scalable solutions. Must be able to work within a highly functioning team to meet required deadlines.Technical SkillsData Modeling and Schema Design: Proficiency in MongoDB's flexible schema model, validation, access pattern recognition to design appropriate document structures (embedded and normalized models) for optimal read and write performance at scale.Querying and Aggregation: Proficiency in MongoDB Advanced CRUD operation and complex aggregation pipelines.Indexing: Knowledge of database indexing techniques and strategies to maintain, optimize and improve query performance.Replication and Sharding: Experience in MongoDB's high availability and failover, vertical and horizontal scalability, including replica sets and sharding.Tooling: Proficiency with MongoDB suite of products such as, Atlas, Shell and Compass. Must also possess knowledge of native MongoDB commands: mongo dump, mongo restore, mongo import, mongo export) and drivers (Node.js, Python, Java, etc.).Data Quality and Governance: Experience and understanding of data lifecycle, architecture, modeling, metadata, lineage, profiling, monitoring, rule definition, and remediation to ensure data accuracy, consistency, and reliability during migration.Relational DB Expertise: Understanding of traditional relational database systems and how they work (SQL syntax, schema design, import, indexing operations, data export) is crucial for migrating from traditional databases to MongoDB.Data Movement Expertise: ETL: Expertise in ETL/ ELT processes, tools and methods. Knowledge of Pub/Sub, Kafka and other streaming toolsets is a plus. Programming and Scripting: Proficiency in languages (Python, JavaScript, Spring boot) for migration scripts and automation. Experienced in developing using Microservices Architecture and Spring boot frameworks.Cloud Technologies: Core competency in these cloud platforms and services: AWS, GCP and MongoDB Atlas. Cloud migration strategies and knowledge a must.Data Security: Implementing security best practices, including authentication and encryption (At rest, In transit). Experience in multiple options in securing data within a healthcare organization (PHI, PII, and PCI) Highly Desired: Mark Logic: Understanding of Mark Logic database and XQuery concepts. Healthcare Experience: Familiarity with healthcare data and systems. Experience with members, providers, and claims systems and data is most desired.Soft SkillsProblem-Solving: Analytical thinking and the ability to diagnose and resolve technical challenges.Communication: Clearly communicating complex technical concepts to technical and non-technical stakeholders, creating documentation, and coordinating with different teams.Leadership: Demonstrates accountability and leadership in driving program targets and works together with team members and stakeholders to achieve goals.","company":"RIT Solutions","rawCompany":"rit solutions","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-19T13:00:12.690Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"MongoDB Engineer","description":"MongoDB Engineer RemoteLooking for a highly skilled MongoDB Engineer with a strong background in developing highly scalable solutions. Must be able to work within a highly functioning team to meet required deadlines.Technical SkillsData Modeling and Schema Design: Proficiency in MongoDB's flexible schema model, validation, access pattern recognition to design appropriate document structures (embedded and normalized models) for optimal read and write performance at scale.Querying and Aggregation: Proficiency in MongoDB Advanced CRUD operation and complex aggregation pipelines.Indexing: Knowledge of database indexing techniques and strategies to maintain, optimize and improve query performance.Replication and Sharding: Experience in MongoDB's high availability and failover, vertical and horizontal scalability, including replica sets and sharding.Tooling: Proficiency with MongoDB suite of products such as, Atlas, Shell and Compass. Must also possess knowledge of native MongoDB commands: mongo dump, mongo restore, mongo import, mongo export) and drivers (Node.js, Python, Java, etc.).Data Quality and Governance: Experience and understanding of data lifecycle, architecture, modeling, metadata, lineage, profiling, monitoring, rule definition, and remediation to ensure data accuracy, consistency, and reliability during migration.Relational DB Expertise: Understanding of traditional relational database systems and how they work (SQL syntax, schema design, import, indexing operations, data export) is crucial for migrating from traditional databases to MongoDB.Data Movement Expertise: ETL: Expertise in ETL/ ELT processes, tools and methods. Knowledge of Pub/Sub, Kafka and other streaming toolsets is a plus. Programming and Scripting: Proficiency in languages (Python, JavaScript, Spring boot) for migration scripts and automation. Experienced in developing using Microservices Architecture and Spring boot frameworks.Cloud Technologies: Core competency in these cloud platforms and services: AWS, GCP and MongoDB Atlas. Cloud migration strategies and knowledge a must.Data Security: Implementing security best practices, including authentication and encryption (At rest, In transit). Experience in multiple options in securing data within a healthcare organization (PHI, PII, and PCI) Highly Desired: Mark Logic: Understanding of Mark Logic database and XQuery concepts. Healthcare Experience: Familiarity with healthcare data and systems. Experience with members, providers, and claims systems and data is most desired.Soft SkillsProblem-Solving: Analytical thinking and the ability to diagnose and resolve technical challenges.Communication: Clearly communicating complex technical concepts to technical and non-technical stakeholders, creating documentation, and coordinating with different teams.Leadership: Demonstrates accountability and leadership in driving program targets and works together with team members and stakeholders to achieve goals.","datePosted":"2026-09-19T13:00:12.690Z","dateModified":"2026-09-19T13:00:12.690Z","hiringOrganization":{"@type":"Organization","name":"RIT Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2a31f867775005f8d1659e39"},"url":"https://jobsearcher.com/jobs/2a31f867775005f8d1659e39"}}