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Remote Python Jobs in Marietta, GA (NOW HIRING)

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · Remote

Remote, Atlanta preferred. Hands-on experience in Neo4j database development, deployment and ... Experience with SQL Strong programming skills in Python or Java Excellent problem-solving and ...

PeopleLift

Forward Deployed Engineer

Atlanta, GA · Remote

... and remote time to do your job most effectively. Job Responsibility In this role, you will ... Python, Node.js, or similar. * Are proficient in a variety of structured, unstructured, vector ...

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 ...

Navtech, Inc.

Sr Data Analyst

Atlanta, GA · On-site +1

$82K - $104K/yr

Atlanta, GA, Remote Duration : 6 to 12 Months Contract to Hire The client is not willing to sponsor ... SQL and Python are required. * Be proficient in using SQL to extract/transform data from various ...

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)

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Remote Python information

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How much do remote python jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for remote python in Marietta, GA is $55.57, according to ZipRecruiter salary data. Most workers in this role earn between $45.82 and $63.12 per hour, depending on experience, location, and employer.

What are Remote Python jobs?

Remote Python jobs are positions where you work primarily with the Python programming language but do so from a location outside of a traditional office, such as your home or another remote location. These jobs can include roles like software developer, data analyst, backend engineer, or machine learning engineer, all of which use Python for building applications, analyzing data, or automating tasks. Remote Python jobs are popular due to Python's versatility and the growing demand for flexible work arrangements in the tech industry.

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

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.

What Are Remote Jobs That Use Python?

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 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.

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.
More about Remote Python jobs
What are the most commonly searched types of Python jobs in Marietta, GA? The most popular types of Python jobs in Marietta, GA are:
What are popular job titles related to Remote Python jobs in Marietta, GA? For Remote Python jobs in Marietta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Python jobs in Marietta, GA look for? The top searched job categories for Remote Python jobs in Marietta, GA are:
What cities near Marietta, GA are hiring for Remote Python jobs? Cities near Marietta, GA with the most Remote Python job openings:
Remote Python jobs near you
REMOTE - AI Engineering Manager (Databricks)

REMOTE - AI Engineering Manager (Databricks)

State Farm

Dunwoody, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago

State Farm rating

7.4

Company rating: 7.4 out of 10

Based on 1,521 frontline employees who took The Breakroom Quiz

209th of 281 rated insurance

Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

REMOTE:Qualified candidates living outside a 50-mile radius of a hub location listed below can plan to work remote. 

HYBRID: Qualified candidates living within a 50-mile radius of a hub location listed below should plan to spend time working from home and some time working in the office as part of our hybrid work environment.
HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ 

SPONSORSHIP:  Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.


Responsibilities

Lead a team of 3-5 embedded agentic engineers who work inside Product Oriented Delivery pods, helping engineers, analysts, and product owners ship twice as fast with twice the quality through agentic workflows. You'll build the agentic harness tuned to our existing infrastructure, write code alongside your team, run the developer community, and ensure a steady stream of innovation projects make it to production on Databricks

What You'll Own

  • Team Leadership (30%) – Hire, manage, and grow 3-5 embedded engineers. 1:1s, career development, removing blockers. You code 30-40% of the time.
  • Agentic Harness (25%) – Build the agentic harness tuned to our infrastructure – hooks, connectors, and integrations with Claude for code quality checks, artifact generation, and next-best-action guidance through the SDLC.
  • Databricks Solutions (20%) – Production templates for Medallion pipelines, Unity Catalog governance, MLflow, PySpark. Not PoCs – real systems with monitoring and runbooks.
  • Developer Community (15%) – Demos, office hours, pattern libraries. Measure adoption and impact.
  • Production Readiness (10%) – Quality gates, automated checks, incident coaching, ET handoff.

What Success Looks Like

  • Team hired, embedded in pods, and shipping agentic infrastructure
  • Developer adoption >70% – teams actively using agentic tools in daily work
  • Projects consistently shipping to production with proper monitoring and handoff
  • Cycle time cut in half. Incidents down 50%. Measured, not estimated.
  • Developer community thriving with demos, office hours, and a living pattern library
  • You've developed a successor on your team

Stack

Databricks (Delta Lake, Unity Catalog, MLflow, PySpark) / Anthropic Claude API / Python, SQL / AWS (Lambda, ECS, RDS) / DataDog, Prometheus, Grafana / Git / CLI tools, VS Code extensions, CI/CD hooks

Culture

  • Kindness is the standard. In the code, the docs, the commit messages.
  • Objective over agreement. Debate hard, commit fully.
  • Agentic-first. If an LLM can augment it, we do it.
  • Production or nothing. We ship.
  • Blameless accountability. RCAs that teach, not punish.
  • Player-coach model. Leaders build alongside the team.
  • 2x2 is the mission. Measured, not aspirational.

Qualifications

Must-Haves

  • Leadership: 2+ years managing engineering teams. Experience with embedded/distributed teams. Coaching mindset.
  • Production (Non-Negotiable): Shipped end-to-end systems to production with real users, SLAs, and on-call. Not PoCs. 1+ year operating production ML/AI systems.
  • Databricks: 2+ years production Databricks (Delta Lake, Unity Catalog, MLflow, PySpark). Medallion architecture. Cost optimization.
  • Agentic/LLMs: Anthropic Claude production experience (structured outputs, tool use, multi-turn). Built developer tools with LLMs. Evaluation frameworks. Prompt engineering at scale.
  • Engineering: Production-grade Python. SQL expertise. CI/CD. API design. Code quality obsession. Threat modeling. Chaos engineering.
  • Communication: Technical teaching. Influence without authority. Clear written communication. Stakeholder management.

Nice-to-Haves

  • Developer platforms or CLI tools. DORA/SPACE metrics. Open-source contributions. Event streaming. Privacy regulations. Insurance/fintech/regulated industries. Lightweight UI skills (Streamlit, Gradio, FastAPI + HTMX).

Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $151,000 - $247,000. Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience and living in high cost of labor location like CA/NY/NJ/Etc. 
  • Potential yearly incentive pay up to 18% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

Qualifications:

Must-Haves

  • Leadership: 2+ years managing engineering teams. Experience with embedded/distributed teams. Coaching mindset.
  • Production (Non-Negotiable): Shipped end-to-end systems to production with real users, SLAs, and on-call. Not PoCs. 1+ year operating production ML/AI systems.
  • Databricks: 2+ years production Databricks (Delta Lake, Unity Catalog, MLflow, PySpark). Medallion architecture. Cost optimization.
  • Agentic/LLMs: Anthropic Claude production experience (structured outputs, tool use, multi-turn). Built developer tools with LLMs. Evaluation frameworks. Prompt engineering at scale.
  • Engineering: Production-grade Python. SQL expertise. CI/CD. API design. Code quality obsession. Threat modeling. Chaos engineering.
  • Communication: Technical teaching. Influence without authority. Clear written communication. Stakeholder management.

Nice-to-Haves

  • Developer platforms or CLI tools. DORA/SPACE metrics. Open-source contributions. Event streaming. Privacy regulations. Insurance/fintech/regulated industries. Lightweight UI skills (Streamlit, Gradio, FastAPI + HTMX).
Education:UNAVAILABLEEmployment Type: FULL_TIME

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