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Senior Python Developer Jobs in Gastonia, 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 ...

LPL Financial

Python API Engineer

Fort Mill, SC · On-site

The Senior Software Engineer (Python / AWS) is a key member of the Data Modernization & Integration organization , responsible for building and supporting scalable cloud-native solutions that enable ...

LPL Financial

Python API Engineer

Fort Mill, SC

The Senior Software Engineer (Python / AWS) is a key member of the Data Modernization & Integration organization , responsible for building and supporting scalable cloud-native solutions that enable ...

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Senior Python Developer information

See Gastonia, NC salary details

$50.3K

$129.7K

$178.2K

How much do senior python developer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior python developer in Gastonia, NC is $129,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $149,400.00 per year, depending on experience, location, and employer.

What are the main responsibilities of a senior Python developer?

A Senior Python Developer is responsible for designing, developing, and maintaining complex software applications using the Python programming language. They lead the technical aspects of projects, mentor junior developers, and ensure code quality through code reviews and best practices. Additionally, they collaborate with cross-functional teams to gather requirements, solve technical challenges, and deploy scalable and efficient solutions. Senior Python Developers are also expected to stay updated with the latest trends and advancements in Python and related technologies.

What is the difference between Senior Python Developer vs Python Developer?

AspectSenior Python DeveloperPython Developer
Required ExperienceTypically 5+ years, with leadership and complex project experienceUsually 1-3 years, focusing on core Python skills
ResponsibilitiesDesigning architecture, mentoring, handling complex systemsWriting code, debugging, implementing features
CertificationsOptional but beneficial (e.g., Python certifications, cloud certs)Often not required
Work EnvironmentCollaborative teams, project planning, code reviewsDevelopment-focused, task-oriented

The main difference between a Senior Python Developer and a Python Developer lies in experience, responsibilities, and leadership. Senior developers handle complex projects, mentor others, and often participate in architecture decisions, while Python Developers focus on coding and feature implementation. Both roles are essential in tech companies, but the senior role requires more experience and broader skills.

How much does a senior Python developer make?

A senior Python developer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. They often possess strong skills in frameworks like Django or Flask and may have certifications or experience with cloud platforms, which can influence compensation.

What are the key skills and qualifications needed to thrive as a senior Python developer?

To thrive as a Senior Python Developer, you need advanced proficiency in Python programming, experience with software architecture, and a solid understanding of algorithms and data structures, usually backed by a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and containerization tools like Docker are typically required, alongside knowledge of modern CI/CD pipelines. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with teams and mentor junior developers. Mastery of these skills ensures the delivery of scalable, maintainable software solutions and the ability to drive technical excellence within development teams.

What are some common challenges faced by senior Python developers when leading a development team?

Senior Python Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members and ensuring code quality across the team. They are also responsible for making architectural decisions, which requires staying updated on best practices and emerging Python frameworks. Additionally, coordinating collaboration between cross-functional teams (like DevOps, QA, and front-end developers) can be complex, especially in agile environments where requirements may shift rapidly. Overcoming these challenges helps foster a productive and innovative team culture.
What are the most commonly searched types of Python Developer jobs in Gastonia, NC? The most popular types of Python Developer jobs in Gastonia, NC are:
What cities near Gastonia, NC are hiring for Senior Python Developer jobs? Cities near Gastonia, NC with the most Senior Python Developer job openings:
Senior Python Developer jobs near you
Infographic showing various Senior Python Developer job openings in Gastonia, NC as of August 2026, with employment types broken down into 2% Internship, 85% Full Time, 5% Part Time, and 8% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $129,744 per year, or $62.4 per hour.

Python DevOps Engineer

1 point system

Charlotte, NC • On-site

Contractor

Re-posted 22 days 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.