MongoDB Engineer at Remote

  • Posted 8 hours ago | Updated moments ago

Overview

Remote
Hybrid
Full Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6+ Month(s)

Skills

Video
MarkLogic
Data Integrity
Data Modeling
Pattern Recognition
Embedded Systems
Replication
High Availability
Failover
Scalability
ATLAS
Shell
Recovery
Node.js
Java
Data Quality
Modeling
Meta-data Management
RDBMS
SQL
MongoDB
Extract
Transform
Load
ELT
Python
JavaScript
Scripting
Microservices
Spring Framework
Amazon Web Services
Google Cloud Platform
Google Cloud
Cloud Computing
Migration
Data Security
Authentication
Encryption
Payment Card Industry
Database
XQuery
Health Care
Soft Skills
Problem Solving
Conflict Resolution
Analytical Skill
Communication
Documentation
Accountability
Leadership
Technical Direction

Job Details

Role: MongoDB Engineer
Location: Remote
Duration: 12+ Months
Interview Mode: Video
The MongoDB Engineer will support an ongoing migration from MarkLogic to MongoDB, working hands-on across data modeling, development, ETL, and cloud integration. This role focuses on building, optimizing, and maintaining MongoDB solutions while partnering closely with the Migration Lead and broader engineering teams to ensure data integrity, performance, and successful delivery.

Required Technical Skills
MongoDB Expertise:
  • 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 scale.
  • Querying and Aggregation: Proficiency in MongoDB Advanced CRUD operation and complex aggregation pipelines.
  • Indexing: Knowledge of Database indexing techniques and strategies to optimize and improve query performance.
  • Replication and Sharding: Experience in MongoDB's high availability and failover, vertical and horizontal scalability, including replica sets and sharding.
  • MongoDB Tools: Proficiency with MongoDB Atlas, Shell, compass,native tools (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
Relational DB Expertise:
  • Relational Database Knowledge: Understanding of relational database systems (SQL, schema design, import, export etc.) is crucial for migrating from traditional databases to MongoDB.
ETL/ELT Expertise:
  • ETL Processes: Expertise in ETL/ ELT processes and tools.
Programming and Scripting:
  • Proficiency in languages like Python, JavaScript, Spring boot for migration scripts and automation. Experienced in developing using Microservices Architecture and Spring boot 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 (At rest, In transit). experience in multiple options in securing data within a healthcare organization (PHI, PII, and PCI)
Highly desired
  • Mark Logic: Good understanding of Mark Logic database and XQuery.
  • Healthcare experience: Knowledge of previous healthcare data experience (members, providers, and claims) is most desired.
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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