Flexton Inc.

Technical Lead (Python/MongoDB/Azure) - 100% Remote - W2 Only

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Lead (Python/MongoDB/Azure) with a 12+ month contract, offering $45-47/hr on W2. It requires 8+ years of software development experience, expertise in Python, MongoDB, Azure, and proficiency in FastAPI and Databricks.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
431
-
🗓️ - Date
October 3, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Pipeline #Databricks #Azure #MongoDB #Python #Cloud #Scala #Microservices #FastAPI #Azure cloud #ADF (Azure Data Factory) #Database Design #Big Data #Azure Data Factory #Programming #Databases
Role description
Job Title: Technical Lead (Python/MongoDB/Azure) Duration: 12+ Months Pay- $45-47/hr on w2 100% Remote Position Description: Job Summary We are seeking an experienced Technical Lead with strong expertise in Python, MongoDB, and Azure Cloud to lead the design, development, and implementation of scalable applications and data-driven solutions. The ideal candidate should have hands-on experience with FastAPI and Databricks, with additional exposure to Azure Data Factory being a plus. Key Responsibilities • Lead end-to-end technical design, development, and delivery of scalable applications and solutions. • Work closely with architects, product owners, and cross-functional teams to define technical requirements and implement best practices. • Develop and optimize APIs and microservices using FastAPI. • Design, build, and maintain data pipelines and workflows leveraging Databricks on Azure. • Manage and optimize MongoDB databases to ensure performance, reliability, and scalability. • Drive cloud-native solution development using Azure Cloud services. Must-Have Skills • 8+ years of experience in software development and solution design. • Strong expertise in Python programming. • Hands-on experience with MongoDB database design and optimization. • Solid experience in Azure Cloud services. • Proficiency in FastAPI framework. • Experience with Databricks for big data and analytics solutions.