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No Experience Python Jobs in Gainesville, GA (NOW HIRING)

WB Solutions LLC

Data Tech Lead with Java

Alpharetta, GA · On-site

$111K - $134K/yr

... experience in Python and PySpark development. - Hands-on experience with Azure Databricks and databricks SQL. - Experience in Java-based streaming and ingestion frameworks. - Strong knowledge of ...

CYNET SYSTEMS

Software Engineer

Alpharetta, GA · On-site

$50 - $55/hr

Hands-on experience in building and optimizing backend applications using Java and Python, ensuring high performance and scalability of APIs. * Advanced knowledge of building and maintaining ...

Atlas Technical Consultants, LLC.

AI Intern

Duluth, GA · On-site

Experience with or exposure to tools such as Python, Jupyter Notebooks, Git/GitHub, APIs, or low ... We offer medical, dental and vision coverage with multiple plan options, including no-cost employee ...

CYNET SYSTEMS

Data Tech Lead with Java

Alpharetta, GA · On-site

$61 - $66/hr

Pay Range: $61hr - $66hr Requirement/Must Have: * 1+ years of experience in Python and PySpark development. * Hands-on experience with Azure Databricks and Databricks SQL. * Experience in Java-based ...

OVA.Work

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Required : • Strong knowledge of SQL and database systems • Experience with Python, Scala, or Java • Hands-on experience with ETL tools and frameworks • Knowledge of cloud platforms such as:

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How much do no experience python jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for no experience python in Gainesville, GA is $54.66, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $62.07 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect as someone starting out in a Python role with no prior experience?

If you're new to Python and joining a team in an entry-level position, you'll typically start by supporting tasks like writing basic scripts, debugging existing code, automating repetitive processes, or assisting with simple data analysis. You may collaborate closely with more experienced developers, participate in code reviews, and gradually take on more complex assignments as you build your skills. Many teams offer mentorship or structured onboarding to help you get up to speed with their codebase and best practices. Entry-level Python roles often provide a supportive environment designed to help you grow and advance your technical abilities over time.

What are the key skills and qualifications needed to thrive in the no experience python position, and why are they important?

To thrive in an entry-level Python developer role with no prior experience, you need a foundational understanding of Python programming concepts, such as variables, control structures, and basic data structures, often gained through self-study or online courses. Familiarity with tools such as code editors (VS Code, PyCharm) and version control systems like Git is also beneficial, and entry-level certifications such as Python Institute’s PCEP can strengthen your application. Eagerness to learn, problem-solving ability, and effective communication are standout soft skills for collaborating with teammates and adapting quickly. These skills and qualities help new developers contribute meaningfully to projects while building expertise and confidence in professional software development.

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MLOps Data Pipeline Engineer (Airflow & MLflow) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
MLOps Data Pipeline Engineer (Airflow & MLflow)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled MLOps Data Pipeline Engineer to build and manage machine learning pipelines using Airflow and MLflow. This role focuses on integrating Spark or Python-based data workflows for efficient model training and deployment.
Key Responsibilities
  • Design and implement machine learning pipelines using Airflow for orchestration and MLflow for model management.
  • Develop data workflows with Spark or Python to preprocess and feed data into ML models.
  • Automate MLOps processes for model training, validation, and deployment using Kubeflow or similar tools.
  • Collaborate with data scientists to monitor and optimize ML pipeline performance and accuracy.
  • Ensure data pipeline scalability, reliability, and governance in production environments.
  • Troubleshoot and resolve issues in data workflows to maintain seamless ML operations.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Engineer with a focus on MLOps and machine learning pipelines.
  • Proficiency in using Airflow for pipeline orchestration and MLflow for model lifecycle management.
  • Experience with Spark or Python for building scalable data workflows in ML environments.
  • Strong understanding of MLOps practices and their integration into data engineering pipelines.

Preferred Qualifications
  • Familiarity with Kubeflow for advanced MLOps workflows and Kubernetes-based deployments.
  • Exposure to cloud platforms like AWS or GCP for hosting MLOps pipelines.
  • Knowledge of data versioning tools like DVC for managing ML datasets and models.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Engineer, MLOps, Airflow, MLflow, Kubeflow, Spark, Python, Machine Learning Pipelines

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