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Python Back Jobs in Atlanta, GA (NOW HIRING)

Write clean Python and SQL, working with data pipelines and analytical workflows to prepare ... and take back their time. To learn more about how Revenue Analytics is recreating Revenue ...

Data Scientist

Atlanta, GA · Remote

$95K - $110K/yr

Write clean Python and SQL, working with data pipelines and analytical workflows to prepare ... and take back their time. To learn more about how Revenue Analytics is recreating Revenue ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Write clean Python and SQL, working with data pipelines and analytical workflows to prepare ... and take back their time. To learn more about how Revenue Analytics is recreating Revenue ...

Adobe AEP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Strong proficiency in SQL, Python/Scala, ETL/ELT frameworks, APIs, and cloud platforms (Google ... Immediate Number of Positions: 1 Please send your responses back to About Solution IT Solution IT ...

... get back to good health, back to their families and back to work. With convenient access to ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

... get back to good health, back to their families and back to work. With convenient access to ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

... get back to good health, back to their families and back to work. With convenient access to ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

We encourage colleagues to give back to the causes they care most about, supporting these efforts ... Develop and orchestrate network automation workflows using APIs and tools like Ansible, Python, or ...

Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ... A considered view on where agents should and shouldn't act and comfort pushing back when "let's add ...

... back-office technologies - to deliver software that connects physical devices with modern cloud ... Nice to Have (Preferred Skills) • Experience with Python for scripting, automation, and ...

Staff Accountant

Marietta, GA · Hybrid

$65K - $80K/yr

Detail-oriented disposition with an ability to step back and see the big picture. * Satisfactory ... Familiarity with computer programming languages, such as Python or R.

Senior Fullstack Engineer

Roswell, GA

$112K - $148K/yr

Python experience for ML integration, functional programming knowledge (Clojure or similar), and ... and back-office solutions. Our three pillars are outstanding customer service, innovative ...

Senior ML/AI Engineer

Lawrenceville, GA · On-site

$95K - $131K/yr

... back-office operations, reduce costs, gain real-time insights, and drive portfolio performance ... Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, PySpark ...

Senior Fullstack Engineer

Roswell, GA

$112K - $148K/yr

Python experience for ML integration, functional programming knowledge (Clojure or similar), and ... and back-office solutions. Our three pillars are outstanding customer service, innovative ...

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Python Back information

See Atlanta, GA salary details

$12

$56

$82

How much do python back jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python back in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding often requires creativity, problem-solving, and understanding complex requirements that AI tools currently cannot replicate entirely. AI can assist programmers by automating repetitive tasks and providing code suggestions, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new tools and improving problem-solving skills can help Python coders remain valuable in the evolving tech landscape.

What is the backend for Python?

In Python development, the backend refers to the server-side code that handles data processing, storage, and application logic. Python is commonly used for backend development with frameworks like Django and Flask, which facilitate building scalable and secure web applications. Knowledge of databases, APIs, and server management is also important for Python backend roles.

What is a Python Backend Developer?

A Python Backend Developer is a software engineer who specializes in building and maintaining the server-side logic of web applications using the Python programming language. They are responsible for creating APIs, managing databases, integrating with external services, and ensuring the overall performance and security of the backend systems. Python Backend Developers often work with frameworks like Django or Flask and collaborate with frontend developers to deliver seamless user experiences.

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

To thrive as a Python Backend Developer, you need strong programming skills in Python, a solid understanding of backend frameworks, and experience with APIs and databases, often supported by a relevant degree or certifications. Familiarity with tools like Django or Flask, RESTful API design, version control systems such as Git, and cloud platforms like AWS or Azure is typically required. Problem-solving, teamwork, and effective communication are crucial soft skills that set top performers apart. These competencies enable developers to build scalable, secure, and maintainable backend systems that meet business needs efficiently.

What jobs can I do with just Python?

With Python skills, you can work as a Python developer, data analyst, automation engineer, or backend programmer. These roles often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks such as scripting, data processing, or web development. Additional skills in databases, version control, and problem-solving enhance job prospects.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries for web frameworks like Django and Flask. Employers seek Python developers for building scalable, efficient server-side applications, often requiring knowledge of databases, APIs, and cloud deployment. The role typically offers competitive salaries and opportunities across various industries such as tech, finance, and healthcare.

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are some common challenges Python Backend Developers face when optimizing application performance?

Python Backend Developers often encounter challenges related to optimizing application speed and scalability, especially when handling large volumes of data or high user traffic. Issues such as inefficient database queries, memory leaks, and suboptimal code structures can impact performance. Developers typically address these by profiling code, implementing caching strategies, and leveraging asynchronous programming where appropriate. Collaborating with DevOps teams to monitor performance metrics and employing tools like Redis, Celery, or load balancers also play a significant role in overcoming these challenges.
What job categories do people searching Python Back jobs in Atlanta, GA look for? The top searched job categories for Python Back jobs in Atlanta, GA are:
Data Scientist

$95K - $110K/yr

Full-time

Re-posted 15 days ago


Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.
 
$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
 
Visa sponsorship is not available for this role.  Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
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