MongoDB Engineer
Remote
- Experience
- 8–15 years
- Employment
- Contract
- Work mode
- Remote
- Salary
- Not disclosed
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2025-07-29
Required skills
| Skill | Experience | Level |
|---|---|---|
| MongoDB | 4+ years | Not specified |
| Apache-Kafka | 4+ years | Not specified |
| Python | 5+ years | Not specified |
| JavaScript | 5+ years | Not specified |
| SpringBoot | 4+ years | Not specified |
| Database Cataloguing | 5+ years | Advanced |
| Data Modeling | 5+ years | Advanced |
| Schema Design | 5+ years | Advanced |
| ETL(Extract, Transform, Load) | 5+ years | Advanced |
| Cloud Computing | 5+ years | Advanced |
| Microservices architecture | 4+ years | Advanced |
| AWS | 5+ years | Advanced |
| Google Cloud | 5+ years | Advanced |
| Azure Document DB | 5+ years | Advanced |
| Document DB | 5+ years | Advanced |
| Meta Quotes Language - (MQL 4) | 5+ years | Advanced |
About the role
reach me at
sri@tech9itsolution.com
REMOTE
RATE: $68/hr w2
MUST Have MQL (MongoDB Query Language) throughout the resume
Anyone with Marklogic to MongoDB integration project experience would be preferred.
Role is not just a MongoDB Admin - It is an engineer role and need candidates with good experience with Kafka, Python, Javascript, Springboot.
Senior Technical Software Engineering Lead –
Should possess unique blend of blend of technical skills and soft skills required to support end to end activities for Marklogic modernization to MongoDB.
Technical Skills:
MongoDB Expertise:
Data Modeling and Schema Design: Understanding MongoDB's flexible schema model and how to design appropriate document structures (embedded and normalized models) for optimal performance and scalability. Knowledge of healthcare data (members, providers, and claims) is most desired
Querying and Aggregation: Proficiency in MongoDB Query Language (MQL) and the Aggregation Framework for efficient data retrieval and transformation.
Indexing: Knowledge of different index types and how to optimize indexes for improved query performance.
Replication and Sharding: Understanding of MongoDB's high availability and scalability features, including replica sets and sharding.
MongoDB Tools: Familiarity with MongoDB tools like Compass, Atlas, and native tools (mongodump, mongorestore) with a particular emphasis on Atlas.
Relational Database Knowledge: Understanding of relational database systems (SQL, schema design, etc.) is crucial for migrating from traditional databases to MongoDB.
ETL Processes: Expertise in Extract, Transform, Load (ETL) processes and tools.
Data Quality and Validation: Implementing data quality rules, validation techniques, and ensuring data consistency during migration.
Programming and Scripting: Proficiency in languages like Python , JavaScript, Springboot for migration scripts and automation. Experienced in development using Microservices Architecture and Springboot frameworks.
Cloud Technologies: Expert Knowledge in any of these cloud platforms (AWS,Google Cloud) and cloud migration strategies
Data Security: Implementing security best practices, including authentication and encryption. Knowledge of the options to secure data within a healthcare organization (PHI, PII, and PCI)
Mark Logic: Good understanding of Mark Logic database and Xquery language is desirable
Kafka: Strong understanding of Kafka Design patterns is nice to have
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 the program targets and influences the team /stakeholders towards the target