

New York Technology Partners
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer, contract length not specified, with a pay rate of "unknown." It requires expertise in NoSQL (MongoDB), ETL/ELT pipelines, cloud environments (Azure preferred), and data governance. Experience in enterprise data platforms and database migration is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#MongoDB #Migration #Data Security #Big Data #Data Governance #Terraform #Scala #Data Modeling #Infrastructure as Code (IaC) #"ETL (Extract #Transform #Load)" #Data Migration #AWS (Amazon Web Services) #Data Storage #Data Architecture #Cloud #Automation #Data Quality #Azure #Data Engineering #Security #NoSQL #Schema Design #Databases #Storage #RDBMS (Relational Database Management System) #Compliance #Indexing #GCP (Google Cloud Platform) #Database Migration #Oracle #Data Framework #Deployment
Role description
Senior Data Engineer
We are seeking a highly experienced Senior Data Engineer to design, build, and optimize scalable data platforms and storage solutions. This role will focus on modern data architecture, NoSQL database technologies (particularly MongoDB), and enterprise data migration initiatives. The ideal candidate has strong experience in data modeling, ETL/ELT pipelines, cloud environments, and data governance, and is comfortable working across both relational and non-relational systems.
Key Responsibilities
• Design, implement, and optimize data storage solutions, with emphasis on MongoDB performance tuning, indexing strategies, and schema design.
• Support enterprise database migration initiatives, including work with Oracle environments, stored procedures, and relational data modeling.
• Develop, maintain, and optimize ETL/ELT pipelines to support analytics and operational workloads.
• Implement and enforce data governance standards, data quality checks, and secure access control mechanisms.
• Build and maintain CI/CD pipelines supporting data engineering workflows and deployments.
• Collaborate with engineering and infrastructure teams on automation and provisioning (Infrastructure as Code; Terraform experience preferred).
• Integrate data across multiple platforms and systems, including big data and distributed processing technologies.
• Design and deploy scalable data solutions within cloud environments (Azure or similar platforms).
• Ensure solutions meet regulatory, security, and contractual compliance requirements when handling sensitive data.
Required Qualifications
• Strong experience as a Data Engineer working with large-scale or enterprise data platforms.
• Deep expertise in NoSQL databases, especially MongoDB (storage design, indexing, performance optimization).
• Solid understanding of relational database concepts and experience with Oracle or similar RDBMS platforms.
• Experience building and maintaining ETL/ELT pipelines.
• Knowledge of data governance practices, data security, and access controls.
• Experience with cloud platforms (Azure preferred; AWS or GCP acceptable).
• Familiarity with CI/CD practices for data systems.
Preferred Qualifications
• Experience supporting regulated or highly secure environments (e.g., government, financial services, or healthcare).
• Experience with big data frameworks or distributed processing systems.
• Experience with Infrastructure as Code tools such as Terraform.
• Understanding of database migration and modernization initiatives.
Senior Data Engineer
We are seeking a highly experienced Senior Data Engineer to design, build, and optimize scalable data platforms and storage solutions. This role will focus on modern data architecture, NoSQL database technologies (particularly MongoDB), and enterprise data migration initiatives. The ideal candidate has strong experience in data modeling, ETL/ELT pipelines, cloud environments, and data governance, and is comfortable working across both relational and non-relational systems.
Key Responsibilities
• Design, implement, and optimize data storage solutions, with emphasis on MongoDB performance tuning, indexing strategies, and schema design.
• Support enterprise database migration initiatives, including work with Oracle environments, stored procedures, and relational data modeling.
• Develop, maintain, and optimize ETL/ELT pipelines to support analytics and operational workloads.
• Implement and enforce data governance standards, data quality checks, and secure access control mechanisms.
• Build and maintain CI/CD pipelines supporting data engineering workflows and deployments.
• Collaborate with engineering and infrastructure teams on automation and provisioning (Infrastructure as Code; Terraform experience preferred).
• Integrate data across multiple platforms and systems, including big data and distributed processing technologies.
• Design and deploy scalable data solutions within cloud environments (Azure or similar platforms).
• Ensure solutions meet regulatory, security, and contractual compliance requirements when handling sensitive data.
Required Qualifications
• Strong experience as a Data Engineer working with large-scale or enterprise data platforms.
• Deep expertise in NoSQL databases, especially MongoDB (storage design, indexing, performance optimization).
• Solid understanding of relational database concepts and experience with Oracle or similar RDBMS platforms.
• Experience building and maintaining ETL/ELT pipelines.
• Knowledge of data governance practices, data security, and access controls.
• Experience with cloud platforms (Azure preferred; AWS or GCP acceptable).
• Familiarity with CI/CD practices for data systems.
Preferred Qualifications
• Experience supporting regulated or highly secure environments (e.g., government, financial services, or healthcare).
• Experience with big data frameworks or distributed processing systems.
• Experience with Infrastructure as Code tools such as Terraform.
• Understanding of database migration and modernization initiatives.






