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Python Data Jobs (NOW HIRING)

Apex Systems

Python Dev

Chandler, AZ · On-site

$60 - $65/hr

Perform data preparation using Python data structures and Pandas. * Work with relational and NoSQL databases, including using SQLAlchemy. * Design, deploy, and support enterprise-scale REST/SOAP web ...

Helm Point Solutions

$127K - $152.50K/yr

Software Engineer - Python/Data Migration Ft. Meade Area, MD Government/Military Clearance Required: TS/SCI with Polygraph Full-Time | Fully Funded | $150K - $200K | 40 Hours/Week Keep the Mission ...

Power3 Solutions

$127K - $152.50K/yr

Software Engineer - Python/Data Migration Ft. Meade Area, MD Government/Military Clearance Required: TS/SCI with Polygraph Full-Time | Fully Funded | $150K - $200K | 40 Hours/Week Keep the Mission ...

Apex Systems

Python Dev Bucket

Chandler, AZ · On-site

$60 - $65/hr

Perform data preparation using Python data structures and Pandas. * Work with relational and NoSQL databases, including using SQLAlchemy. * Design, deploy, and support enterprise-scale REST/SOAP web ...

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How much do python data jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for python data in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

More about Python Data jobs
What cities are hiring for Python Data jobs? Cities with the most Python Data job openings:
What states have the most Python Data jobs? States with the most job openings for Python Data jobs include:
What job categories do people searching Python Data jobs look for? The top searched job categories for Python Data jobs are:
Python Data jobs near you
Infographic showing various Python Data job openings in the United States as of May 2026, with employment types broken down into 40% Full Time, 49% Part Time, and 11% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Python Dev

Python Dev

Apex Systems

Chandler, AZ • On-site

$60 - $65/hr

Full-time

Posted 20 days ago

Job description

Python Developer

The Python Developer will be responsible for designing, architecting, and guiding the development of backend platforms and API services that power enterprise automation solutions. This role requires expertise in Python, distributed architectures, API frameworks, and automation-driven backend systems. The Python Developer will work closely with business stakeholders, automation teams, UI engineers, and DevOps groups to ensure end-to-end solution delivery from design through production rollout.

Key Responsibilities

  • Design and develop backend APIs and services using Flask, Gunicorn, and other production-grade Python frameworks.
  • Manage Python environments, virtual environments, dependencies, and PYPI package maintenance.
  • Work with development tools such as Jupyter, Eclipse, or Spyder.
  • Utilize version control (Git/SVN) and CI/CD tooling (Jenkins, Ansible) for automated deployments.
  • Develop bash scripting for automation and system orchestration.
  • Perform data preparation using Python data structures and Pandas.
  • Work with relational and NoSQL databases, including using SQLAlchemy.
  • Design, deploy, and support enterprise-scale REST/SOAP web services.

Required Qualifications

  • 5+ years of professional Python development with object-oriented design skills.
  • 5+ years working with Python development tools.
  • 5+ years of hands-on work in Linux environments.
  • 5+ years of experience with version control and CI/CD tooling.
  • Proficiency in bash scripting for automation.
  • Experience with data preparation, Python data structures, and Pandas.
  • 5+ years of working with relational and NoSQL databases, with SQL and ORM experience.
  • Experience designing, deploying, and supporting enterprise-scale REST/SOAP web services.

Top Must Haves

  • Heavy hands on Python back end coding
  • Strong OOP experience
  • Extensive experience working in a Linux environment
  • Experience with Infrastructure as a service

Compensation & Benefits

A compensation range of $60-65/hr on Apex W2 is offered. The final pay rate will be determined based on experience and qualifications. A benefits package may be available to eligible employees.

This employer is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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