

GTECH LLC
MongoDB Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a MongoDB Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include data modeling, querying, indexing, replication, and cloud technologies. Healthcare experience is highly desired.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
June 3, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#AWS (Amazon Web Services) #Data Lineage #Data Security #Java #Security #Automation #Model Validation #Indexing #SQL (Structured Query Language) #PCI (Payment Card Industry) #Programming #Database Indexing #Schema Design #Data Modeling #Replication #Metadata #"ETL (Extract #Transform #Load)" #Monitoring #MongoDB #REST (Representational State Transfer) #Python #Microservices #Databases #Data Lifecycle #Data Quality #Scala #Data Accuracy #GCP (Google Cloud Platform) #Cloud #Kafka (Apache Kafka) #Spring Boot #JavaScript #Database Systems #Migration #Scripting
Role description
Job Description:-
This MongoDB Engineer needs to have a strong background in developing highly scalable solutions. Must be able to work within a highly functioning team to meet required deadlines.
Required 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 scal
e.
Querying and Aggregation: Proficiency in MongoDB Advanced CRUD operation and complex aggregation pipelin
es.
Indexing: Knowledge of Database indexing techniques and strategies to maintain, optimize and improve query performa
nce.
Replication and Sharding: Experience in MongoDBβs high availability and failover, vertical and horizontal scalability, including replica sets and shar
ding.
Tools Ne
eded:
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 mi
gration.
Relational DB E
xpertise: 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 E
β’ xpertise:ETL: Expertise in ETL/ ELT processes, tools and methods. Knowledge of Pub/Sub, Kafka and other streaming toolsets i
β’ s 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 fr
β’ ameworks.Cloud Technologies: Core competency in these cloud platforms and services: AWS, GCP and MongoDB Atlas. Cloud migration strategies and knowledg
β’ e 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 Ex
β’ perience:Mark Logic: Understanding of Mark Logic database and XQuery
β’ concepts.Healthcare Experience: Familiarity with healthcare data and systems. Experience with members, providers, and claims systems and data is most
desired.
Job Description:-
This MongoDB Engineer needs to have a strong background in developing highly scalable solutions. Must be able to work within a highly functioning team to meet required deadlines.
Required 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 scal
e.
Querying and Aggregation: Proficiency in MongoDB Advanced CRUD operation and complex aggregation pipelin
es.
Indexing: Knowledge of Database indexing techniques and strategies to maintain, optimize and improve query performa
nce.
Replication and Sharding: Experience in MongoDBβs high availability and failover, vertical and horizontal scalability, including replica sets and shar
ding.
Tools Ne
eded:
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 mi
gration.
Relational DB E
xpertise: 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 E
β’ xpertise:ETL: Expertise in ETL/ ELT processes, tools and methods. Knowledge of Pub/Sub, Kafka and other streaming toolsets i
β’ s 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 fr
β’ ameworks.Cloud Technologies: Core competency in these cloud platforms and services: AWS, GCP and MongoDB Atlas. Cloud migration strategies and knowledg
β’ e 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 Ex
β’ perience:Mark Logic: Understanding of Mark Logic database and XQuery
β’ concepts.Healthcare Experience: Familiarity with healthcare data and systems. Experience with members, providers, and claims systems and data is most
desired.






