Oreva Technologies, Inc.

MongoDB Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a MongoDB Engineer, remote, with a contract length of unspecified duration and a pay rate of "unknown." Key skills include MongoDB expertise, cloud migration experience, and familiarity with healthcare data. Strong communication and problem-solving abilities are essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
June 9, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#JavaScript #Data Security #Metadata #PCI (Payment Card Industry) #Programming #Schema Design #Data Accuracy #Model Validation #Indexing #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Microservices #Data Quality #REST (Representational State Transfer) #MarkLogic #Data Lifecycle #Data Lineage #MongoDB #Scripting #Replication #Security #Migration #Leadership #Java #Spring Boot #Automation #Data Modeling #Databases #Database Indexing #Documentation #Scala #Python #SQL (Structured Query Language) #Cloud #GCP (Google Cloud Platform) #Database Systems #Monitoring #Kafka (Apache Kafka)
Role description
Title: MongoDB Engineer REMOTE Interview: Phone and Video Interview: Wednesday and Thursday CANDIATES MUST COMPLETE ROPES ASSESSMENT FOR THIS ROLE β€’ β€’ This role involves a MarkLogic to MongoDB Migration. They need a REALLY strong, exceptional engineer who has good System Architecture experience (Understanding the whole picture), exceptional communication skills, and cloud migration experience; these are all musts. Need a rockstar who doesn't need handholding and can get into meetings and contribute right away with minimal oversight. MongoDB Engineer Description: Looking 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 Skills: Data 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: Relational Database Knowledge: 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 Skills: Problem-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. Thanks and Regards, Jeet Kumar Thapa Technical Recruiter Oreva Technologies Inc. P: 972-996-6477 Ext: 323 E: jeet.t@orevatech.com L: https://www.linkedin.com/in/jeet-kumar-thapa-816873155/ A: 1320 Greenway Drive, Suite 460, Irving, TX 75038 W: https://orevatech.com/