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Python Programming Jobs in Nashville, TN (NOW HIRING)

Machine Learning Engineer

Nashville, TN ยท On-site

$62K - $100K/yr

Expertise in Python programming and experience with version control systems like Git. * Strong ability to work independently and execute tasks efficiently in a dynamic environment. * Proficiency in ...

Staff Backend Engineer

Brentwood, TN ยท Hybrid

$180K - $210K/yr

This is a hands-on IC role focused on building durable, scalable systems in Python alongside other senior and staff engineers. You'll work on foundational backend services that other teams depend on.

Senior Data Engineer

Brentwood, TN ยท On-site

$55 - $65/hr

Develop Python and PySpark transformations. * Integrate data from ERP, project management, cost ... Support engineering standards, CI/CD, and reusable patterns. Required Experience * 10+ years of ...

Senior Data Engineer

Franklin, TN ยท On-site

$104K - $142K/yr

Proficiency in Python or JVM languages for data engineering and automation * Deep knowledge of cloud-based data patterns, distributed systems, and modern data architectures * Strong analytical ...

Engineering Industry: Electrical/Electronic Manufacturing Compensation: $61,000 - $90,000T Total ... Python, Java, etc.); VBA preferred - Microsoft Office - ERP Software experience Requirements Our ...

Senior Data Engineer (Remote)

Nashville, TN ยท On-site

$110K - $132K/yr

Develop Python and PySpark transformations. * Integrate data from ERP, project management, cost ... Support engineering standards, CI/CD, and reusable patterns. Required Experience * 10+ years of ...

Showing results 21-40

Python Programming information

See Nashville, TN salary details

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$56

$83

How much do python programming jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for python programming in Nashville, TN is $56.62, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $64.33 per hour, depending on experience, location, and employer.

What is Python programming?

Python programming refers to writing code in the Python language, a versatile and high-level programming language known for its readability and simplicity. Python is widely used for web development, data analysis, artificial intelligence, scientific computing, and automation. Its large standard library and active community make it a popular choice for both beginners and experienced developers. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Because of its simple syntax and vast ecosystem, Python is a great starting point for anyone looking to learn programming or develop complex applications.

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

To thrive as a Python Programmer, you need strong proficiency in Python programming, knowledge of data structures and algorithms, and often a degree in computer science or a related field. Familiarity with popular libraries like Pandas, NumPy, and frameworks such as Django or Flask, along with experience using version control systems like Git, is typically required. Problem-solving ability, attention to detail, and effective communication are crucial soft skills that set top programmers apart. These competencies ensure efficient code development, successful collaboration, and the delivery of robust software solutions.

What are some common challenges python programmers face when working on collaborative projects?

Python programmers often encounter challenges like maintaining code consistency, managing dependencies, and merging code changes when working with a team. Adhering to coding standards (such as PEP 8) and using tools like version control systems (e.g., Git) are crucial to streamline collaboration. Regular code reviews and clear documentation also help prevent misunderstandings and ensure smooth integration of each team member's contributions.

What is the difference between Python Programming vs Data Analyst?

AspectPython ProgrammingData Analyst
Required SkillsProficiency in Python, scripting, algorithmsData interpretation, Excel, SQL, basic Python
Work EnvironmentSoftware development, coding projectsData analysis, reporting, business insights
Industry UsageTech, finance, automationMarketing, finance, healthcare

Python Programming involves writing code to develop software, automate tasks, and build applications, requiring strong coding skills. Data Analysts focus on interpreting data, creating reports, and providing insights, often using Python as a tool. While Python Programming emphasizes coding expertise, Data Analysts combine analytical skills with some programming knowledge. Both roles often overlap, especially when Data Analysts use Python for data manipulation and analysis.

Is Python programming a good career?

Python programming is a popular and in-demand skill in the tech industry, with applications in web development, data analysis, machine learning, and automation. Careers in Python often offer competitive salaries, opportunities for remote work, and require knowledge of related tools like libraries and frameworks. It is considered a strong choice for those interested in software development and data science roles.

Is there a demand for Python programmers?

Python programming is in high demand across various industries such as technology, finance, and data science. Employers seek Python developers for roles involving web development, automation, machine learning, and data analysis, often requiring knowledge of frameworks like Django or libraries such as Pandas. The job market for Python programmers remains strong due to its versatility and widespread use in emerging technologies.

What jobs can I do with just Python programming?

With Python programming skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend web developer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with databases and version control systems.
Infographic showing various Python Programming job openings in Nashville, TN as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 13% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $117,774 per year, or $56.6 per hour.

Staff Software Engineer, Backend

360 Privacy

Brentwood, TN โ€ข On-site

Full-time

Posted 25 days ago


Job description

About Us

At 360 Privacy, we build proactive digital security tools to protect high-risk individuals, from senior executives to public figures and their families. Our platform removes personal data exposure across the open web, deep web, and dark web through a combination of human expertise and large-scale automation.


Trusted by 40 of the Fortune 100, we're scaling rapidly and investing heavily in our core engineering platform: the backend systems, APIs, and AI-integrated infrastructure that power discovery, monitoring, and removal workflows at scale.


Who We're Looking For

We're hiring a Staff Backend Engineer on our Core team to design, build, and own the backend systems and APIs that power our platform. This is a senior individual contributor role with a Principal trajectory, meaning real architectural ownership, not implementation of someone else's decisions.


The right candidate thinks in systems and consequences. You've owned backend platforms where the data was genuinely sensitive, you've made architectural decisions you had to live with, and you're comfortable saying "we should not do this" when necessary. You write Python continuously and recently, you know AWS deeply, and you have strong opinions about reliability earned through experience.


What You'll Do

  • Design, build, and own production-grade REST APIs and backend services.
  • Architect and maintain scalable, secure backend systems with clear ownership of trade-off decisions and long-term maintainability.
  • Ensure high performance and responsiveness of applications across the platform.
  • Collaborate with front-end developers and cross-functional teams to integrate user-facing elements with server-side logic.
  • Mentor engineers and contribute to engineering standards, documentation, and architectural direction in a collaborative, low-ego environment.
  • Troubleshoot and resolve production issues as they arise.
  • Partner with Product, Security, and Data teams to translate ambiguous requirements into durable backend platforms.
  • Make principled decisions about when architectural approaches are inappropriate, particularly in security- or compliance-sensitive areas.


Requirements

  • Proven experience designing, building, and owning production-grade REST APIs at scale.
  • Hands-on production experience with core AWS services including ECS, RDS, Lambda, S3, SQS, and IAM.
  • Demonstrated ability to make and own architectural decisions on production backend systems, including trade-off analysis and long-term maintainability.
  • Proficient with recent, continuous production experience using Python as a primary language (not occasional scripting or secondary usage).
  • Proficient in working with SQL databases in production environments.
  • Experience with CI/CD pipelines and tools including GitHub Actions, Jenkins, or equivalent, with hands-on ownership of pipeline configuration and deployment automation.
  • Demonstrated experience mentoring engineers and contributing to engineering standards, documentation, or architectural direction.
  • Experience and willingness to learn and adapt to AI prompt engineering.
  • U.S. residency required
  • Advanced proficiency in English
    • This role requires advanced proficiency in English to effectively communicatecomplex information with team members and stakeholders, and to complete job-related documentation and collaboration tasks. We welcome applicants from allbackgrounds and are committed to providing reasonable accommodations whereapplicable.


Preferred Qualifications

  • Hands-on experience building and deploying production APIs with FastAPI.
  • Experience with Kubernetes for container orchestration.
  • Production experience with PostgreSQL including schema design, query optimization, and migrations.
  • Experience building systems that handle sensitive or regulated data, such as PII, PHI, or data subject to compliance frameworks like HIPAA, PCI-DSS, FedRAMP, or SOC2.
  • Experience and flexibility using IDEs like PyCharm and VS Code with AI integration.


Why Join Us

  • Impact: Build backend infrastructure that protects real people from real-world risks.
  • Culture: High ownership, low-ego engineering team that values correctness, reliability, and clarity.
  • Longevity: Influence the direction of a core platform built to last years, not quarters.
  • Growth: Competitive salary, benefits, and continuous learning opportunities.
  • Unique perk: Digital privacy protection for you and your family.

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