Job Description
As a MongoDB Engineer, you will be responsible for designing, developing, and optimizing highly scalable database solutions to support complex data-driven applications. You will work closely with cross-functional teams to model and structure data effectively, ensuring optimal performance for both read and write operations.
On a daily basis, you will build and maintain advanced queries and aggregation pipelines, implement indexing strategies, and oversee database performance tuning. You will also support replication and sharding efforts to ensure high availability and scalability across environments.
In addition, you will play a key role in data migration initiatives, leveraging ETL/ELT processes and scripting to move data from relational systems into MongoDB while maintaining data quality, governance, and integrity. You will collaborate with engineering and business teams to ensure secure handling of sensitive data, particularly within healthcare environments. This role requires active participation in a high-performing team, meeting project deadlines, troubleshooting technical challenges, and clearly communicating solutions to both technical and non-technical stakeholders.
**NOT a DBA***
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Required Skills & Experience
• Strong hands-on experience with MongoDB, including data modeling, schema design, and validation techniques
• Expertise in MongoDB CRUD operations and building complex aggregation pipelines
• Experience with MongoDB replication and sharding for scalability and high availability
• Proficiency with MongoDB tools such as Atlas, Compass, and Shell
• Working knowledge of MongoDB native utilities (mongo dump, restore, import, export)
• Experience with programming/scripting languages such as Python, JavaScript, or Java (Spring Boot)
• Experience developing microservices architectures, particularly with Spring Boot
• Strong understanding of relational databases (SQL, schema design, indexing, data migration concepts)
• Experience with ETL/ELT processes and tools for data migration
• Knowledge of streaming technologies such as Kafka or Pub/Sub
• Hands-on experience with cloud platforms such as AWS, GCP, and MongoDB Atlas
• Understanding of cloud migration strategies
• Experience implementing data security best practices, including encryption (at rest and in transit)
• Familiarity with handling sensitive data (PHI, PII, PCI) within a regulated environment
Nice to Have Skills & Experience
• Experience with MarkLogic and understanding of XQuery concepts
• Prior experience working within healthcare systems or data environments
• Familiarity with healthcare-specific data domains such as members, providers, and claims
• Proven leadership experience, including driving initiatives and collaborating across teams to meet program goals
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.