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Remote Python Jobs in Duluth, GA (NOW HIRING)

Lennar

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

Write clean, modular Python and infrastructure-as-code (Terraform) for ML platform components ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

LVTLABS\-Magus

AWS Data Engineer

Atlanta, GA · Remote

$112K - $134K/yr

... ETL, Redshift, SQL, Python, Git. \n \n \n 1. Must have working knowledge in designing and ... Toronto ON, Atlanta GA and Remote.\n \n \n \n \n \n

Prolego

GenAI Systems Developer

Atlanta, GA · Remote

$185K - $215K/yr

You will work remotely in a remote-first environment alongside a highly skilled team of engineers ... Custom Python Application Development: Go well beyond "prompt engineering" by building end-to-end ...

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · Remote

Remote, Brazil OK, Atlanta preferred. At least 5+ years of overall IT experience. The individual ... Experience with both SQL and graph databases. Strong programming skills in Python or Java.

Cypress HCM

Full Stack Developer

Atlanta, GA · On-site +1

$80K - $100K/yr

Remote from Atlanta, GA | In-office time (ATDC) will be available to you but isn't mandated ... Backend experience with Python/Django is preferred (open to other languages/frameworks)

micro1 AI

AI Training Specialist - Physics

Atlanta, GA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ...

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Remote Python information

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$12

$53

$79

How much do remote python jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote python in Duluth, GA is $53.96, according to ZipRecruiter salary data. Most workers in this role earn between $44.47 and $61.30 per hour, depending on experience, location, and employer.

What is a remote python job?

Remote jobs that use Python focus on coding software and applications to meet the needs or business objectives of your employer. This may involve working with a database, customizing an existing application, or otherwise modifying software based on its expected environment. You can also find a few remote roles that allow you to teach Python instead of using it. Many remote jobs that use Python also involve coding in other common languages as necessary—Python may be the bulk of the work, but the ability to switch to other modes of programming as needed is essential for success in this field. As a remote employee or independent contractor, you may use virtual office software to coordinate with others, upload software into a central database for testing, or work odd hours to meet the needs of your client.

What are the key skills and qualifications needed to thrive as a remote python developer?

To thrive as a Remote Python Developer, you need strong programming skills in Python, experience with software development life cycles, and a relevant degree or professional experience. Familiarity with tools like Git, Docker, cloud platforms (e.g., AWS), and frameworks such as Django or Flask is typically required, along with knowledge of remote collaboration tools like Slack and Jira. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote team integration and project delivery. These skills ensure efficient, high-quality code development, seamless teamwork, and the ability to meet project goals independently in a remote environment.

How do remote python developers typically collaborate and communicate with their teams?

Remote Python Developers often work closely with distributed teams using collaboration tools like Slack, Zoom, and GitHub. Clear communication and regular check-ins are essential for syncing on project requirements, code reviews, and troubleshooting. Developers are encouraged to document their code thoroughly and proactively update their progress to ensure smooth workflow across different time zones. This environment fosters independence and strong written communication skills, while also providing opportunities to participate in virtual standups, sprint planning, and peer programming sessions.

What is the difference between Remote Python vs Remote Data Analyst?

AspectRemote PythonRemote Data Analyst
Required SkillsPython programming, scripting, libraries (e.g., Pandas, NumPy)Data analysis, SQL, Excel, visualization tools
CertificationsPython certifications, data science coursesData analysis certifications, SQL certifications
Work EnvironmentRemote, tech companies, startupsRemote, finance, marketing, consulting firms
Industry UsageSoftware development, automation, backend servicesBusiness intelligence, market research, reporting

Remote Python roles focus on coding, automation, and software development using Python, while Remote Data Analysts analyze data sets to generate insights. Both roles often work remotely and require analytical skills, but their core responsibilities and tools differ significantly.

Which remote Python job is in demand?

Remote Python developer roles are highly in demand across industries such as technology, finance, and data science. Skills in frameworks like Django or Flask, along with experience in cloud platforms and version control, enhance job prospects. These positions often require strong problem-solving abilities and remote collaboration skills.
More about Remote Python jobs

What are the most commonly searched types of Python jobs in Duluth, GA?

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For Remote Python jobs in Duluth, GA, the most frequently searched job titles are:

What job categories do people searching Remote Python jobs in Duluth, GA look for?

The top searched job categories for Remote Python jobs in Duluth, GA are:

What cities near Duluth, GA are hiring for Remote Python jobs?

Cities near Duluth, GA with the most Remote Python job openings:

Remote Python jobs near you
Infographic showing various Remote Python job openings in Duluth, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $112,229 per year, or $54 per hour.

Cloud Platform Expertise (GCP Focus)/Python and SQL exp must

ConfigUSA

Atlanta, GA • Remote

$117K - $140K/yr

Contractor

Re-posted 28 days ago

Job description

Role Summary

We are looking for a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure that drives business intelligence, advanced analytics, and machine learning initiatives. You must be comfortable working autonomously, navigating complex challenges, and driving projects to successful completion in a dynamic cloud environment.

Key Responsibilities

•       Design and Optimization: Design, implement, and optimize clean, well-structured, and performant analytical datasets to support high-volume reporting, business analysis, and data science model development.

•       Pipeline Development: Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics

•       Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaming analytics.

•       Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.

Required Skills and Experience

•       Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically:

○       BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.

○       Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub

•       Programming & Querying:

○       Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries

○       SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.

•       Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).

•       DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.