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Python Full Stack Developer; Django​/Databricks

Job in Charlotte, Mecklenburg County, North Carolina, 28202, USA
Listing for: Experis
Full Time position
Listed on 2026-07-15
Job specializations:
  • Software Development
    Python
Salary/Wage Range or Industry Benchmark: 60 - 70 USD Hourly USD 60.00 70.00 HOUR
Job Description & How to Apply Below
Position: Python Full Stack Developer (Django / Databricks)

Python Full Stack Developer (Django / Databricks)

Location:

Charlotte, NC (Hybrid – 2 days onsite weekly) Duration:
Long-term Contract (Through December 2026 + Extensions) Pay Rate: $60.00 - $70.00 / hour W2 Eligibility Requirements:
Strict W2 Only. No Corp-to-Corp (C2C), third parties, or W2 referrals will be accepted.

Position Overview

We are seeking a high-caliber Full Stack Python Developer with 8+ years of experience to design, develop, and scale applications from the ground up. This role is ideal for a senior developer who thrives on hands-on architecture and active coding rather than team management or maintenance support.

You will join a fast-paced environment in Charlotte, NC, requiring an onsite presence twice a week. As part of our vetting process, all qualified candidates must complete a comprehensive Glider coding assessment to demonstrate their technical proficiency.

Key Requirements & Core Competencies

To be successful in this role, you must demonstrate mastery across four core pillars:
Python, Django, Databricks, and React.

  • Core Python & Django: 8+ years of experience building scalable applications from the ground up. You should have advanced expertise in core Python scripting alongside frameworks like Django, Flask, or FastAPI.

  • Databricks Ecosystem:
    Hands-on, working knowledge of the Azure Databricks environment is required. This includes PySpark, notebooks, repository integration, job workflows, delta lakes, and unity catalog.

  • Frontend UI:
    Strong exposure to JavaScript technologies, with a strong preference for ReactJS.

  • Data & System Design:
    Deep SQL Server/Oracle/PostgreSQL expertise with the ability to construct advanced data analytics queries, rationalize system architecture, and articulate complex design concepts.

Technical Environment
  • Scripting & Big Data:
    Python, SQL, Bash, PySpark, Apache Spark

  • Web & Frontend:
    Django, Flask, FastAPI, ReactJS, Java Script

  • Cloud (Azure):
    Azure Synapse, Azure Functions, Data Lake Storage Gen2, Event Grid, Hubs, Service Bus, Key Vault, Dev Ops

  • Databases & Storage: SQL Server, Oracle, PostgreSQL, Delta Lake

  • Orchestration & BI:
    Azure Data Factory, Databricks Workflows, Power BI

Highly

Desirable Experience
  • Prior experience or strong domain knowledge within the Financial Services sector, particularly focusing on Risk Management systems.

  • Familiarity with building and integrating custom dashboards using Power BI and REST APIs.

Important Candidate

Note:

This position requires the successful completion of a Glider coding test. We are explicitly looking for individuals with strong foundational software engineering skills who can discuss architecture rationalization and system design fluidly.

What's in it for me?

  • Opportunity to work on cutting-edge big data and cloud technologies.
  • Engage in challenging projects that enhance your technical expertise.
  • Collaborate with a diverse and innovative team.
  • Gain exposure to the financial industry and risk management solutions.
  • Be part of a forward-thinking organization committed to professional growth.

Upon completion of waiting period consultants are eligible for:

  • Medical and Prescription Drug Plans
  • Dental Plan
  • Vision Plan
  • Health Savings Account
  • Health Flexible Spending Account
  • Dependent Care Flexible Spending Account
  • Supplemental Life Insurance
  • Short Term and Long Term Disability Insurance
  • Business Travel Insurance
  • 401(k), Plus Match
  • Weekly Pay

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

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