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Python Developer Contract Jobs in Charlotte, NC (NOW HIRING)

1 point system

Python DevOps Engineer

Charlotte, NC · On-site

Client is seeking a mid-level to senior engineer to join client's team on a contract basis to help ... Core Skills: * Strong Python development skills for enterprise-scale automation and service ...

Varsity Tutors

Python Tutor

Matthews, NC · Remote

$18 - $40/hr

Ability to explain Pythonic programming conventions, decorators, and generators while preparing ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Python Tutor

Charlotte, NC · Remote

$18 - $40/hr

Ability to explain Pythonic programming conventions, decorators, and generators while preparing ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

TEKsystems

Full Stack Python Developer

Charlotte, NC

$70 - $73/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description seeking a Senior full stack Developer with strong technical leadership and a proactive ... Skills Python React AI experience Job Type & Location This is a Contract position based out of ...

TEKsystems

Full Stack Python Developer

Charlotte, NC

$70 - $73/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description seeking a Senior full stack Developer with strong technical leadership and a proactive ... Skills Python React AI experience Job Type & Location This is a Contract position based out of ...

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Showing results 21-40

All JobsPython Developer Contract JobsPython Developer Contract Jobs in Charlotte, NC

Python Developer Contract information

See Charlotte, NC salary details

$12

$57

$84

How much do python developer contract jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python developer contract in Charlotte, NC is $57.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.05 per hour, depending on experience, location, and employer.

What is a python developer contract?

A Python Developer Contract is a temporary work agreement where a developer is hired specifically to work on projects or tasks that require expertise in the Python programming language. Contract roles typically have a set duration and may be project-based, allowing businesses to scale their development teams flexibly. Contractors are usually responsible for writing code, debugging, and deploying Python applications, and may work independently or as part of a larger team. This arrangement benefits both employers seeking specialized skills for a limited time and developers looking for varied project experiences.

What are some common challenges faced by python developers working on contract, and how can they be addressed?

Python developers working on contract often encounter challenges such as integrating with existing codebases, rapidly understanding project requirements, and adapting to varying team workflows. To address these, contractors should prioritize clear communication with project stakeholders, actively seek documentation, and utilize version control systems like Git. Being proactive in asking questions and participating in team meetings can help contractors quickly align with project goals and deliverables, ensuring smooth collaboration and successful project outcomes.

What are the key skills and qualifications needed to thrive as a python developer contract, and why are they important?

To thrive as a Python Developer on contract, you need strong skills in Python programming, software development best practices, and often a relevant degree or proven project experience. Familiarity with version control systems like Git, frameworks such as Django or Flask, and knowledge of cloud platforms or CI/CD tools are typically required. Effective communication, time management, and adaptability are crucial for collaborating remotely and meeting project deadlines. These skills ensure high-quality, efficient code delivery and seamless integration with project teams in dynamic contract environments.

What is the difference between Python Developer Contract vs Python Developer Full-Time?

AspectPython Developer ContractPython Developer Full-Time
CredentialsTypically requires proficiency in Python, relevant certifications optionalSame as contract, often with additional experience or certifications preferred
Work EnvironmentProject-based, flexible hours, remote or onsitePermanent employment, regular hours, often onsite or hybrid
Employer & Industry UsageUsed across startups, agencies, and tech firms for specific projectsCommon in established companies, tech firms, and enterprises
Search & Comparison IntentOften searched for project-based roles, freelance opportunitiesTypically searched for stable, long-term employment

In summary, Python Developer Contract roles focus on short-term, project-specific work with flexible arrangements, while Python Developer Full-Time positions offer stability, benefits, and long-term employment within organizations.

What are the most commonly searched types of Python Developer jobs in Charlotte, NC?

The most popular types of Python Developer jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Python Developer Contract jobs?

Cities near Charlotte, NC with the most Python Developer Contract job openings:

Python Developer Contract jobs near you
Infographic showing various Python Developer Contract job openings in Charlotte, NC as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $119,093 per year, or $57.3 per hour.

Python DevOps Engineer

1 point system

Charlotte, NC • On-site

Contractor

Re-posted 21 hours ago

Job description

Overview:

  • Client is seeking a mid-level to senior engineer to join client’s team on a contract basis to help design, build, and operate a secure, scalable enterprise Data Private Cloud (DPC) platform.
  • This is a hybrid role that blends container-platform development (Kubernetes/OpenShift and data services) with security operations (SecOps) and automation.
  • Candidates will build and enhance platform services and workflows across the SDLC, implement security controls and compliance guardrails, and partner with cross-functional teams to operationalize secure-by-default data services at scale.

Key Responsibilities:
Platform Engineering:

  • Design and build automated platform workflows for provisioning, deployment, and operational support of data services running on OpenShift/Kubernetes.
  • Develop and maintain platform capabilities supporting data ecosystem components such as Spark, Iceberg, Ranger, Sparkflow, Superset, and related services.
  • Contribute to resilient, scalable architecture for containerized workloads and large-scale data processing pipelines.
  • Improve platform reliability through automation, runbooks, SRE practices, and standard operating procedures.

Security Engineering and SecOps Enablement

  • Engineer security automation that enforces controls for data access, encryption, masking, and protection across the data platform.
  • Integrate security into the SDLC by embedding controls into CI/CD pipelines, infrastructure-as-code, and release processes.
  • Partner with security, platform, and DevOps teams to strengthen incident response readiness, operational resilience, and risk reduction.
  • Support security monitoring and compliance by contributing to:
  • Policy management, attestation evidence, and continuous compliance workflows
  • Security-relevant audit logging, alerting, and dashboards

Hands-on Development and Collaboration:

  • Design, implement, test, and document Python-based services and automation for platform operations and compliance workflows.
  • Collaborate closely with architects, DevOps/platform engineers, and data product teams to deliver end-to-end solutions.
  • Participate in technical design reviews, threat modeling discussions, and architecture decisions for secure deployment patterns.

Required Qualifications (5 plus years):
Core Skills:

  • Strong Python development skills for enterprise-scale automation and service development.
  • Solid understanding of security fundamentals (least privilege, defense-in-depth, secure SDLC) and common compliance concepts.
  • Experience building or operating software in containerized environments (Kubernetes or OpenShift/OCP).
  • Practical experience with CI/CD pipelines and integrating security checks/controls into delivery workflows.
  • Strong communication skills and ability to work effectively across engineering and security stakeholders.

Technical Background:

  • Familiarity with data security patterns such as access control, encryption, tokenization/masking, and secrets management.
  • Understanding of DevOps practices: automated testing, release automation, environment promotion strategies, and operational support.
  • Exposure to data platform concepts (data services, governance, metadata, batch/stream processing).

Preferred Qualifications (Nice to Have):

  • Experience with Apache/open-source ecosystem tools such as Ranger, Keycloak, Spark, Iceberg, DataHub.
  • Knowledge of S3-compatible object storage and large-scale distributed data processing patterns.
  • Familiarity with observability tooling (logs/metrics/traces), security telemetry, and operational health dashboards.
  • Experience with incident response, post-incident reviews, and improving operational resilience.
  • Exposure to API design and/or UI development (e.g., React.js) for operational portals or admin tools.

What Success Looks Like:

  • Automated workflows that make data services easy to deploy and operate on OCP/Kubernetes.
  • Security controls that are built-in, not bolted-on—policy enforcement, least privilege, auditability, and compliance automation.
  • Improved reliability and reduced operational overhead through standardization and automation.
  • Strong cross-team alignment between platform engineering, data teams, and security stakeholders.