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Python Application Developer Jobs in Kingsland, GA

Embtel Inc

ETL Developer

Jacksonville, FL · On-site

$47.25 - $61.75/hr

You will also modify moderately complex Data & Analytics application programs, including detailed ... with Python and RPA (Nice to have) EDUCATION Bachelor's degree in computer science, or IT or ...

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All JobsPython Application Developer JobsPython Application Developer Jobs in Kingsland, GA

Python Application Developer information

See Kingsland, GA salary details

$14

$45

$73

How much do python application developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python application developer in Kingsland, GA is $45.72, according to ZipRecruiter salary data. Most workers in this role earn between $36.73 and $52.60 per hour, depending on experience, location, and employer.

What is the difference between Python Application Developer vs Python Software Engineer?

AspectPython Application DeveloperPython Software Engineer
Required CredentialsBachelor's in CS or related field, Python certificationsBachelor's or higher in CS, Python certifications often preferred
Work EnvironmentDevelops specific applications, often client-focusedDesigns and develops software solutions, broader scope
Employer & Industry UsageTech companies, startups, enterprise softwareTech firms, software companies, consulting
Common Search & ComparisonFocuses on application development tasksEncompasses broader software engineering roles

Python Application Developers primarily focus on creating specific applications using Python, often working closely with clients or project teams. Python Software Engineers typically have a broader role, including designing, developing, and maintaining complex software systems. While both roles require similar credentials and work environments, the Application Developer role is more targeted towards application creation, whereas the Software Engineer may handle a wider range of software development tasks.

What are some common challenges Python Application Developers face when working on large-scale projects?

Python Application Developers often encounter challenges such as managing complex codebases, ensuring consistent code quality, and optimizing application performance as projects grow in size. Collaborating with cross-functional teams and integrating various third-party libraries can also introduce compatibility issues or technical debt. To address these challenges, developers typically follow best practices like using version control, implementing thorough testing strategies, and participating in regular code reviews to maintain project stability and scalability.

How much does a Python developer get paid?

The average salary for a Python application developer varies by experience, location, and industry, but typically ranges from $70,000 to $120,000 annually in many regions. Senior developers with specialized skills in frameworks, data analysis, or machine learning can earn higher salaries, especially with certifications and extensive experience.

Is Python developer in-demand?

Python developers are in high demand across various industries such as web development, data science, and automation due to Python's versatility and widespread use. Employers seek skills in frameworks like Django and Flask, as well as knowledge of data analysis tools like Pandas and NumPy, making Python development a strong career choice with good job prospects.

What are the key skills and qualifications needed to thrive as a Python Application Developer, and why are they important?

To thrive as a Python Application Developer, you need proficiency in Python programming, a solid understanding of software development principles, and experience with frameworks like Django or Flask, typically supported by a degree in computer science or related field. Familiarity with version control systems such as Git, databases like PostgreSQL or MongoDB, and cloud platforms is often required, along with optional certifications such as PCEP or PCAP. Strong problem-solving abilities, effective communication, and teamwork skills help you collaborate efficiently and adapt to evolving project requirements. These skills ensure you can build robust, maintainable applications and contribute effectively to development teams.

Are Python still in-demand in 2026?

Python application developers remain in high demand in 2026 due to Python's versatility, widespread use in data science, machine learning, web development, and automation. Proficiency in frameworks like Django or Flask and knowledge of related tools continue to enhance job prospects in this field.

What are Python Application Developers?

Python Application Developers are software professionals who design, build, test, and maintain applications using the Python programming language. They work on a variety of projects, ranging from web and desktop applications to data analysis tools and automation scripts. These developers are skilled in Python frameworks and libraries and often collaborate with other developers, designers, and stakeholders to deliver functional and efficient software solutions.

Will AI replace Python devs?

AI is unlikely to fully replace Python application developers, as their role involves designing, coding, and maintaining complex software systems that require human judgment and creativity. AI tools can assist developers by automating repetitive tasks and improving efficiency, but human expertise remains essential for problem-solving, architecture, and adapting to new requirements.
What job categories do people searching Python Application Developer jobs in Kingsland, GA look for? The top searched job categories for Python Application Developer jobs in Kingsland, GA are:
What cities near Kingsland, GA are hiring for Python Application Developer jobs? Cities near Kingsland, GA with the most Python Application Developer job openings:
Python Application Developer jobs near you
Cyber Identity - FDE Engineering Manager

Cyber Identity - FDE Engineering Manager

Deloitte

Jacksonville, FL

Other

Posted 17 days ago

Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services

Job description

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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