MongoDB Developer
Job Description
About the Role
We are looking for a MongoDB Developer to design, optimize, and maintain data systems built on Document Schema Design, Aggregation Framework, Sharding & Replica Sets. This role combines technical depth in MongoDB with the ability to understand business context — you'll work with analysts, engineers, and stakeholders to ensure data is reliable, accessible, and useful. The ideal candidate has hands-on experience with MongoDB Atlas and Mongoose, can diagnose complex query performance issues, and understands both OLTP and OLAP patterns. You'll own data pipeline reliability, query performance, and schema evolution for systems handling millions of records.
Key Responsibilities
- Own Document Schema Design implementation and optimization — configuration, customization, and ongoing enhancement based on business needs
- Manage Aggregation Framework workflows including setup, user training, and continuous improvement of processes
- Implement and maintain Sharding & Replica Sets ensuring seamless integration with existing systems and workflows
- Design and maintain MongoDB schemas optimized for both operational and analytical workloads
- Write and optimize complex queries, stored procedures, and data transformation pipelines
- Monitor MongoDB performance — query execution plans, resource utilization, and capacity planning
- Build automated ETL/ELT pipelines for data integration from multiple source systems
- Create dashboards and reporting solutions that enable data-driven decision making
- Implement data quality checks, validation rules, and monitoring for data pipeline reliability
- Plan and execute database migrations with zero-downtime cutover strategies
Must-Have Qualifications
- Hands-on experience with Document Schema Design — configuration, customization, and troubleshooting in production environments
- Proficiency with MongoDB Atlas as part of the MongoDB development/operations workflow
- 3+ years of hands-on MongoDB experience in production environments
- Strong SQL skills — complex queries, window functions, CTEs, and query optimization
- Experience with data modeling — star schemas, normalization, and denormalization trade-offs
- Understanding of ETL/ELT pipeline design and data quality management
- Ability to communicate data insights to both technical and non-technical stakeholders
Nice-to-Have Skills
- MongoDB Certified Developer Associate certification or equivalent validated credential
- MongoDB Certified DBA Associate certification or equivalent validated credential
- Experience with advanced MongoDB features: Aggregation Framework, Sharding & Replica Sets, Atlas Cloud Management
- Familiarity with the broader MongoDB ecosystem including Mongoose and MongoDB Compass
- Experience with real-time streaming systems (Kafka, Kinesis, or Flink)
- Knowledge of data governance frameworks and data catalog tools
Interview Tips
Technical Coding Exercise
Give a small, realistic MongoDB coding challenge that tests fundamentals — clean code, edge case handling, and test writing. Time-box to 45-60 minutes.
Architecture Whiteboard
Present a system design problem relevant to MongoDB. Evaluate their approach to scalability, data modeling, and trade-off discussions.
Code Review Simulation
Show a MongoDB pull request with both good patterns and subtle issues. Assess what they catch, how they communicate feedback, and what they prioritize.
Past Project Deep-Dive
Have them walk through their most challenging MongoDB project. Ask probing questions about architecture decisions, obstacles, and what they learned.
Typical Team Structure
Team Size
2-5 MongoDB developers
Reports To
Engineering Manager, Tech Lead, or CTO
Collaborates With
Product Management, QA/Testing, DevOps, Design
Skip the JD — Get Matched Instead
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