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Marklogic Engineer with Mongo DB Skillset - Mongo DB Migrati

IL, United States

Experience
8–15 years
Employment
Contract
Work mode
Onsite
Salary
Not disclosed
Deadline
Apply by 1 Nov 2026
Posted
2025-07-22

Required skills

SkillExperienceLevel
MongoDB5+ years0
DB Design5+ years0
Meta Quotes Language - (MQL 4)5+ yearsAdvanced
Apache Atlas5+ yearsAdvanced
Python5+ yearsAdvanced
JavaScript5+ yearsAdvanced
SQL5+ yearsAdvanced
SpringBoot5+ yearsAdvanced
AWS5+ yearsAdvanced
Google Cloud5+ yearsAdvanced
Apache-Kafka5+ yearsAdvanced
Compass5+ yearsAdvanced

About the role

CVS Location (IL, CT, AZ, TX)

RATE: $50 - 55 on W2



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

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