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MongoDB Data Engineer - W2 - Contract - - Long Term Contract
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a MongoDB Data Engineer on a long-term remote contract. Key skills include MongoDB, Python, and cloud experience (GCP). Candidates should have expertise in data integration, ETL, and database performance optimization.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
April 1, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Indexing #Database Performance #GCP (Google Cloud Platform) #Python #Scala #MongoDB #Data Engineering #Data Integration #Programming #"ETL (Extract #Transform #Load)" #Schema Design #DevOps #Cloud #Automation #Security #Data Analysis
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, TechVirtue LLC, is seeking the following. Apply via Dice today!
Job Title: MongoDB Data Engineer
Location: REMOTE
Duration: Long Term
Job Description:
MongoDB Data Engineer to design, develop, and maintain scalable data solutions. In this role, you will build efficient data models, implement ETL pipelines, and optimize database performance through indexing, sharding, and schema design best practices. You will work closely with application developers, data analysts, and DevOps teams to ensure data reliability, security, and high availability across environments. The ideal candidate has strong experience with MongoDB, programming skills in Python, and hands-on knowledge of cloud platforms such as Google Cloud Platform, along with expertise in data integration and automation tools.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, TechVirtue LLC, is seeking the following. Apply via Dice today!
Job Title: MongoDB Data Engineer
Location: REMOTE
Duration: Long Term
Job Description:
MongoDB Data Engineer to design, develop, and maintain scalable data solutions. In this role, you will build efficient data models, implement ETL pipelines, and optimize database performance through indexing, sharding, and schema design best practices. You will work closely with application developers, data analysts, and DevOps teams to ensure data reliability, security, and high availability across environments. The ideal candidate has strong experience with MongoDB, programming skills in Python, and hands-on knowledge of cloud platforms such as Google Cloud Platform, along with expertise in data integration and automation tools.
