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Research Python Jobs in North Carolina (NOW HIRING)

Python Engineer

Charlotte, NC ยท On-site

$150/hr

A financial firm is looking for a Python Engineer to join their team in Charlotte, NC. Compensation ... Skilled at independently researching topics using all means available to firm relevant information.

Collaborate with quantitative researchers to analyze domain-specific data and implement models and ... Python proficiency. 3+ years as a senior developer on front-office applications in banking or ...

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Research Python information

What is a Research Python Developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What Python jobs are in demand?

Python development roles such as software engineer, data analyst, data scientist, machine learning engineer, and automation engineer are currently in high demand. These positions often require knowledge of frameworks like Django or Flask, data analysis tools, and proficiency in libraries such as Pandas and TensorFlow.

Will AI replace Python coders?

Research Python coders develop and maintain Python-based applications, and while AI can automate certain coding tasks, it is unlikely to fully replace human programmers due to the need for problem-solving, creativity, and understanding complex requirements. AI tools can assist coders by increasing efficiency, but human oversight remains essential for quality and innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for research roles in 2026 due to its versatility, extensive libraries, and widespread use in data analysis, machine learning, and automation. Proficiency in Python, along with knowledge of frameworks like Pandas or TensorFlow, continues to be valuable for research positions across various industries.

Which pays more, C++ or Python?

For a Research Python role, Python developers generally have a lower median salary compared to C++ developers, especially in fields like software engineering and systems programming. C++ skills are often associated with higher-paying positions due to its use in performance-critical applications, but salary can vary based on experience, industry, and location. Both languages are valuable, and salary differences depend on the specific job requirements and market demand.

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

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python Developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.
What cities in North Carolina are hiring for Research Python jobs? Cities in North Carolina with the most Research Python job openings:
Infographic showing various Research Python job openings in North Carolina as of June 2026, with employment types broken down into 2% As Needed, 94% Full Time, 2% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Python Engineer

Python Engineer

Open Systems Technologies

Charlotte, NC โ€ข On-site

$150/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

A financial firm is looking for a Python Engineer to join their team in Charlotte, NC.
Compensation: $150-200k

Responsibilities:

  • Develop highly scalable applications in Python framework.

  • Create and deploy applications in Azure environment with various interconnected azure components.

  • Understand and enhance front-end applications using React JS, HTML5 and CSS3.

  • Identify and fix bottlenecks that may arise from inefficient code.

  • Ensure that programs are written to the highest standards (e.g., Unit Tests) and technical specifications.

  • Documentation of the key aspects of the project.

Qualifications:

  • 5+ year of development experience in Python is mandatory, with optional experience in Databricks and Azure cloud computing.

  • Knowledge of database systems (e.g., SQL, NoSQL) and distributed computing frameworks.

  • Prior experience in building VaR systems is desirable.

  • Excellent communication and people skills, with the ability to collaborate effectively with stakeholders at all levels.

  • Solid organizational skills, ability to multi-task across different projects.

  • Experience with Agile methodologies.

  • Skilled at independently researching topics using all means available to firm relevant information.

  • Excellent verbal and written communication skills.

  • Self-starter with ability to multi-task and to maintain momentum.
  • Exposure to Power BI tools is highly desirable.
  • Knowledge of user authentication and authorization between multiple systems, servers and environments.