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Entry Level Python Automation Jobs in Charlotte, NC

Engineer, Carolinas

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Programming skills. (such as Python, C++, Matlab, Automation in Access and Excel) * Experience with ... Career Progression The Engineer I position is an entry level in the Engineering progression line ...

US Tech - FTO Senior Associate

Charlotte, NC · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Server - Utilizing Python and Terraform for infrastructure automation - Managing security ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Entry Level Python Automation information

See Charlotte, NC salary details

$22.5K

$136.7K

$197.8K

How much do entry level python automation jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry level python automation in Charlotte, NC is $136,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $160,700.00 per year, depending on experience, location, and employer.

What is an entry level Python automation job?

Entry level Python automation jobs are positions where beginners use Python programming to automate repetitive tasks, processes, or workflows. These roles typically involve writing scripts to save time, improve efficiency, and reduce manual effort in areas like data entry, testing, web scraping, or system administration. Employers often look for candidates with basic Python skills, an understanding of automation tools or libraries, and the ability to solve problems independently. These jobs are a great way to start a career in software development, DevOps, or quality assurance.

What are the key skills and qualifications needed to thrive as an entry level Python automation specialist?

To thrive as an Entry Level Python Automation specialist, you need a solid understanding of Python programming, basic knowledge of automation frameworks, and a relevant degree or coursework in computer science or IT. Familiarity with tools like Selenium, Pytest, and version control systems such as Git is commonly required. Strong problem-solving skills, attention to detail, and effective communication help you deliver reliable automated solutions and integrate well with development teams. These abilities are crucial for efficiently automating repetitive tasks, improving software quality, and supporting team productivity.

What are some typical challenges faced by entry level Python automation professionals, and how can they overcome them?

Entry-level Python automation specialists often encounter challenges such as understanding legacy codebases, managing time effectively when debugging scripts, and adapting to various automation tools or frameworks used by the team. To overcome these, it's important to proactively seek guidance from more experienced colleagues, participate in code reviews, and leverage available documentation. Building strong communication skills and staying open to learning new tools can also help ease the transition into collaborative project work and long-term professional growth.

What is the difference between Entry Level Python Automation vs Entry Level Data Analyst?

AspectEntry Level Python AutomationEntry Level Data Analyst
Required SkillsPython scripting, basic automation, problem-solvingExcel, SQL, data visualization, analytical skills
CertificationsPython certifications, basic programming coursesData analysis certifications, Excel certifications
Work EnvironmentTech teams, automation projects, IT departmentsBusiness teams, reporting, data interpretation
Industry UsageIT, software development, automation firmsFinance, marketing, healthcare, retail

Entry Level Python Automation focuses on scripting and automating tasks using Python, often within IT or software environments. Entry Level Data Analysts interpret data to support business decisions, requiring skills in data visualization and analysis tools. While both roles involve working with data, Python Automation emphasizes scripting skills, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Python Automation jobs in Charlotte, NC?

The most popular types of Python Automation jobs in Charlotte, NC are:

Infographic showing various Entry Level Python Automation job openings in Charlotte, NC as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $136,712 per year, or $65.7 per hour.

Full-time

Posted 11 days ago


Job description

Description

Data Analyst

Location: Charlotte, NC (Hybrid)
Team: Credit & Pricing
Reports to: Senior Manager, Credit Risk
Level: Entry Level (1–3 Years Experience)

About Sunlight Financial
Sunlight Financial is a technology-enabled, point-of-sale financing platform that empowers residential home improvement contractors and their customers. Our platform streamlines consumer finance with fast, frictionless loan approvals and funding, backed by a broad network of capital providers. We’re committed to delivering smart, secure, and scalable financial solutions that drive growth and trust across the industry.
Learn more at www.sunlightfinancial.com.
 

About the Role

We’re looking for a curious, Python-fluent Data Analyst to join our team at Sunlight Financial. In this role, you’ll sit at the intersection of data engineering, business intelligence, and emerging AI, helping our company deliver smarter financing experiences to home improvement customers across the country.

You’ll work closely with the Credit & Pricing team and collaborate across Finance, Underwriting, Product, Engineering, and Sales to turn raw data into reliable pipelines, actionable insights, and tools that drive real business decisions. This is a hands-on role for someone who loves to build, automate, and explore and who’s excited about integrating LLM and AI capabilities into everyday data workflows. 

Application Instructions
To be considered for this position, please include the exact job title, "Data Analyst" in red font at the very top of your resume. Applications that do not include this requirement may not be considered.

What You’ll Do

  • Build and maintain data pipelines — design, automate, and monitor workflows that move and transform data reliably across our systems.
  • Develop and maintain dashboards and reports — create clear, accurate reporting that stakeholders across the business can trust and act on.
  • Conduct ad hoc analysis — respond to business questions from Sales, Finance, Underwriting, and Product teams with timely, well-structured analysis.
  • Integrate AI and LLM capabilities — work with APIs such as OpenAI and Claude to explore and implement AI-assisted automation within our data workflows.
  • Support cross-functional data needs — partner with Product, Engineering, and customer-facing teams to understand data requirements and deliver solutions.
  • Contribute to data quality and documentation — help maintain standards, definitions, and documentation that keep our data trustworthy and scalable.

Qualifications

  • 2–3 years of hands-on experience working with Python in professional or project-based settings; we want to see Python used in multiple contexts across your background (e.g., data wrangling, automation, analysis, API integrations).
  • Strong SQL skills with experience querying and transforming real-world datasets.
  • Experience building or contributing to data pipelines or automated workflows.
  • Familiarity with dashboard/reporting tools and a track record of delivering clear data visualizations.
  • Comfort working with APIs and integrating external data services.
  • Strong written and verbal communication — you can explain technical work to non-technical stakeholders.

Nice to Have

  • Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, or similar).
  • Exposure to the financial services, fintech, or lending space.
  • Familiarity with data quality practices, testing, or documentation standards.
  • Experience in a startup or fast-moving team environment.
     

Why Join Us?

This is a high-impact role on Sunlight Financial’s Credit & Pricing team. You will work directly with the Credit & Pricing team and collaborate across Finance, Underwriting, Product, Engineering, and Sales to turn raw data into pipelines, insights, and tools that drive real business decisions. Join a fast-evolving, data-driven team where your work makes a real difference.

For additional details surrounding Sunlight’s culture and benefits, please visit https://sunlightfinancial.com/careers/

An Equal Opportunity Employer

Sunlight provides equal employment opportunities (EEO) to all employees and applicants for employment regardless of race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Sunlight complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Sunlight expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Sunlight’s employees to perform their job duties may result in discipline up to and including discharge.