Infoway Software
MongoDB Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a MongoDB Engineer on a 12-month contract, paying $48/hr. Key skills include MongoDB expertise, ETL processes, cloud technologies (AWS, GCP), and data security in healthcare. Remote work with a focus on data modeling and automation required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
384
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🗓️ - Date
June 3, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#AWS (Amazon Web Services) #Security #Data Security #Java #Automation #Model Validation #Indexing #PCI (Payment Card Industry) #Programming #Database Indexing #Schema Design #Data Modeling #Replication #"ETL (Extract #Transform #Load)" #MongoDB #REST (Representational State Transfer) #Python #Microservices #Scala #GCP (Google Cloud Platform) #Cloud #Kafka (Apache Kafka) #Spring Boot #JavaScript #Migration #Scripting
Role description
MongoDB Engineer
Remote
12 months contract to hire
Rate: $48/Hr on W2
• 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.
• Tools Needed: 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.).
• 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)
MongoDB Engineer
Remote
12 months contract to hire
Rate: $48/Hr on W2
• 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.
• Tools Needed: 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.).
• 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)
