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Python Analytics Jobs in North Carolina (NOW HIRING)

Software Technology Inc

Data Architect

Durham, NC · Hybrid

$57.75 - $74.25/hr

Data Architect Hybrid Mode(5 Days in Month) Durham,NC/Boston,MA 13-15 yrs ideally Deep knowledge and understanding of Architecture and processes SQL, Python, analytic applications - 5 yrs, PostgreSQL ...

InteliX Systems

Data Architect

Durham, NC

$57.75 - $74.25/hr

Durham, NC / Boston, MA Duration: 12+ Months 13-15 years ideally Deep knowledge and understanding of architecture and processes SQL, Python, Analytic Applications - 5 years PostgreSQL, ETL tools - 5 ...

U.S. Bank

Credit Risk Python Architect

Charlotte, NC · On-site

$111.61K - $131.30K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model ... Strong analytical, organizational, problem-solving, negotiation, and project management skills

Accenture

AI Architect, Manager

Durham, NC · On-site +1

$61 - $80.25/hr

Python (Analytics/Software Engineering) * LLM solution architecture & solution development (Generative AI / Azure OpenAI) * Time-Series Analytics (Analytics) * Real-time or near real-time streaming ...

US Bank

Credit Risk Python Architect

Charlotte, NC · On-site

$111.61K - $131.30K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model ... Strong analytical, organizational, problem-solving, negotiation, and project management skills

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Python Analytics information

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

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are popular job titles related to Python Analytics jobs in North Carolina? For Python Analytics jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in North Carolina look for? The top searched job categories for Python Analytics jobs in North Carolina are:
What cities in North Carolina are hiring for Python Analytics jobs? Cities in North Carolina with the most Python Analytics job openings:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in North Carolina as of May 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution.
Senior Python Data Engineer #3606832

Senior Python Data Engineer #3606832

Axiom Path

Charlotte, NC • Hybrid

$75 - $80/hr

Full-time

Posted 4 days ago

Job description

Be Part Of A High-Performing Team:

Join a technology team supporting a leading financial services environment where data-driven systems, scalable applications, and reliable engineering practices are critical to business operations. This team works across technical and business groups to build solutions that collect, process, and deliver large volumes of data for analysis, reporting, and downstream application needs. The environment is collaborative, fast-moving, and suited for a senior engineer who can work independently while partnering closely with cross-functional stakeholders.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a hybrid opportunity based in Charlotte, NC, supporting a long-term technical initiative within a financial services technology group. The role offers exposure to back-end engineering, ETL development, APIs, cloud data tooling, and enterprise-scale data workflows.

How You Will Make An Impact

  • Build and maintain scalable data pipelines that gather, transform, store, and process large volumes of data.
  • Develop server-side applications, APIs, scripts, and back-end components using Python and C#.
  • Support ETL development, data quality checks, and optimization of data storage and processing workflows.
  • Integrate databases, third-party services, cloud data tools, and internal APIs into reliable application solutions.
  • Write clean, efficient, well-documented code and participate in unit testing, debugging, and code reviews.
  • Collaborate with business and technical teams to gather requirements, implement solutions, and support CI/CD delivery practices.

Are you an experienced Python data engineering professional ready to make an impact?

  • 10+ years of senior-level software engineering, data engineering, or back-end development experience.
  • Strong hands-on Python development experience, ideally in data-heavy, API-driven, or enterprise back-end environments.
  • Strong SQL skills with experience working across relational databases and large datasets.
  • Experience developing ETL pipelines and supporting data quality, transformation, and storage optimization.
  • Hands-on experience with cloud data tools such as AWS Glue, Azure Data Factory, or comparable platforms.
  • C# development experience for server-side applications, APIs, or enterprise integrations.
  • Experience writing unit tests, debugging applications, participating in code reviews, and supporting CI/CD workflows.
  • Strong analytical thinking, documentation discipline, and ability to work independently or within Agile teams.
  • Financial services or capital markets experience is a plus.

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