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Remote Python Programmer Jobs in Simpsonville, SC

Remote Python Programmer information

See Simpsonville, SC salary details

$36

$60

$73

How much do remote python programmer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote python programmer in Simpsonville, SC is $60.36, according to ZipRecruiter salary data. Most workers in this role earn between $55.38 and $63.89 per hour, depending on experience, location, and employer.

What is a remote Python programmer?

Remote Python programmers are software developers who specialize in the Python programming language and work from locations outside of a traditional office environment. They design, build, and maintain applications, scripts, or systems using Python, collaborating with teams and clients through online tools. This role typically requires strong problem-solving skills, familiarity with remote work tools, and the ability to communicate effectively in a distributed team setting.

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

To thrive as a Remote Python Programmer, you need strong proficiency in Python programming, problem-solving abilities, and a background in computer science or related fields. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and frameworks like Django or Flask is typically required. Excellent communication, self-motivation, and time-management skills are essential for effective remote collaboration. These skills ensure you can deliver high-quality code independently, work efficiently across distributed teams, and adapt to evolving project requirements.

What are some common challenges faced by remote Python programmers, and how can they be addressed?

Remote Python programmers often encounter challenges such as maintaining clear communication with team members across different time zones, managing self-discipline while working independently, and ensuring effective collaboration on codebases. To address these issues, it's important to proactively participate in virtual meetings, use collaborative tools like version control systems (e.g., Git), and establish a structured daily routine. Staying engaged with team chat channels and leveraging project management platforms also helps facilitate smooth workflow and keeps everyone aligned.

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

AspectRemote Python ProgrammerRemote Data Analyst
Required SkillsPython, programming, scripting, APIsData analysis, SQL, Excel, visualization
CertificationsPython certifications, coding bootcampsData analysis certifications, SQL certifications
Work EnvironmentRemote, tech companies, startupsRemote, finance, healthcare, consulting
Industry UsageSoftware development, automation, backend servicesBusiness intelligence, reporting, data-driven decision making

While both roles often work remotely and require analytical skills, Remote Python Programmers focus on coding and software development using Python, whereas Remote Data Analysts specialize in interpreting data and creating reports. The choice depends on whether you prefer programming and building applications or analyzing data to inform business decisions.

Are remote Python programmers still in demand?

Remote Python programmers are currently in high demand due to the language's versatility in web development, data analysis, and automation. Companies seek professionals with strong coding skills, experience with frameworks like Django or Flask, and proficiency in version control tools such as Git. The remote work trend has increased opportunities for Python developers across various industries.

What remote jobs can you get with a Remote Python Programmer?

A remote Python programmer can work in various roles such as software developer, data analyst, machine learning engineer, or backend developer. These positions often require knowledge of frameworks like Django or Flask, and may involve tasks like building APIs, data processing, or automation, typically with flexible schedules and remote collaboration tools.

Lead AI Engineer, Business Operations (Hybrid or Remote)

Duncan, SC • On-site, Remote

$94K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted yesterday


Job description

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $2B in revenue, and employ approximately 11,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.

What We Offer:

  • Flexible time off policy
  • 401K Company match (up to 4% — dollar for dollar)
  • Professional development, training, and tuition reimbursement programs
  • Excellent medical, dental, vision, and life insurance policy options
  • Opportunities for career advancement with an industry leading company!

We are seeking a Lead AI Engineer to join our Business Operations team. This position may be able to work remotely from anywhere within the United States.

The Lead AI Engineer is a senior technical leader on AFL's AI Enablement team, responsible for defining the architecture, standards, and delivery approach for agentic AI solutions that automate the operational backbone of the business through workflow orchestration, model adaptation, and analytics. Working directly with the AI Enablement Manager, the Lead AI Engineer will establish the technical foundation the team builds on, including model selection and management, deployment posture, orchestration patterns, evaluation and audit. As the team grows, an AI Product Manager and AI Operations Specialists will join to take on intake, sequencing, stakeholder coordination, and product ownership of deployed solutions, allowing the team to stay focused on design, delivery, and maintenance of future solutions.

Responsibilities:

Key responsibilities/essential functions include:

Architecture & Technical Foundation

  • Establishes the architectural patterns, evaluation practices, and deployment standards for the team
  • Makes framework and model recommendations that set the foundation for the team. Will evaluate orchestration frameworks, select deployment patterns, train and fine-tune models, and determine where managed platforms end and custom build begins

Solution Design & Delivery

  • Collaborates with the AI Enablement Manager and business unit to optimize operational processes, owning the infrastructure architecture and translating strategic direction into technical plans, product life cycles, a prioritized backlog, and buildable work
  • Owns solutions end-to-end: technical planning, architecture, build, and deployment, then continuously monitors, iterates, and improves them to keep them reliable in production

Production Reliability

  • Builds and continuously maintains the monitoring, evaluation, and regression detection systems that keep production agents reliable over time, including logging, performance benchmarking, and feedback loops that surface drift early

Governance & Collaboration

  • Partners with data governance to ensure solutions meet compliance, data quality, and operational standards

Personal Qualities:

  • Innovative and tech-savvy, with deep curiosity about emerging AI capabilities and how to apply them
  • Analytical and detail-oriented, with a strong architectural mindset
  • Collaborative and communicative, able to translate complex technical concepts for non-technical stakeholders
  • Self-directed and accountable, able to set technical direction and drive execution independently

Qualifications:

  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • 5+ years of software engineering and architecture experience with a strong full-stack foundation — backend services, API design, system integration, and data infrastructure
  • Recent hands-on experience architecting and delivering AI or LLM-backed systems in production
  • Experience architecting solutions from scratch and owning them through deployment, observability, testing, and ongoing reliability
  • Experience with AI development practices — model selection, fine-tuning, prompt engineering, evaluation frameworks, and understanding when each approach is the right fit
  • Proficiency in Python; experience with cloud platforms
  • Experience mentoring engineers and setting technical direction across multiple initiatives
  • Strong communication skills with both technical and non-technical stakeholders

Working Conditions:

  • Environment: Remote work environment (US-based).
  • Travel: Occasional travel (domestic) as needed.