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Python Data Jobs in Phoenix, AZ (NOW HIRING)

Immediate Hiring | Python Data Engineer / API Developer We are hiring experienced Python Data Engineers / API Developers for enterprise-level projects. If you have strong expertise in PySpark, GCP ...

Required Qualifications 3+ years of experience with a Python Data Engineering Stack in a professional environment. 3+ Experience with SQL query development, working in a data warehouse environment as ...

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

Responsibilities : • Must have: aws data, datazone, databricks, glue or spark, python, data warehousing, CI/CD • Bachelor's degree in Computer Science, Engineering or related field • 5+ years ...

New

Python Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

This system includes multiple Python scripts for data processing and automation, a SQL Server database, Esri file geodatabases, and a PHP-based web interface for configuring and running geocoding ...

Expert level programming skills in Python and experience with Data Science and ML packages and frameworks * Proficiency with containerization technologies Docker Kubernetes and CICD practices

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse ...

Python Engineer Join our team as a Python Engineer in a hybrid role across various locations ... This contract position involves designing and implementing data processes using generic ...

Python Tutor

Mesa, AZ · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Tempe, AZ · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Chandler, AZ · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Glendale, AZ · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Gilbert, AZ · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

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Python Data information

See Phoenix, AZ salary details

$13

$58

$85

How much do python data jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python data in Phoenix, AZ is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.11 per hour, depending on experience, location, and employer.

What is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals skilled in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries, especially with certifications or advanced degrees.

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.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, NumPy, or frameworks like Django and Flask, and may involve tasks like scripting, data processing, or web development.

Is Python a high paying job?

Python data roles, such as Python developers or data analysts, tend to offer competitive salaries due to the high demand for programming and data skills. Salaries vary based on experience, location, and industry, but Python-related positions generally pay above average compared to many other tech roles.

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 popular job titles related to Python Data jobs in Phoenix, AZ? For Python Data jobs in Phoenix, AZ, the most frequently searched job titles are:

Python Data Engineer

Perficientcorp Inc

Phoenix, AZ • On-site

Contractor

Posted 22 days ago


Job description

Immediate Hiring | Python Data Engineer / API Developer

We are hiring experienced Python Data Engineers / API Developers for enterprise-level projects. If you have strong expertise in PySpark, GCP, and scalable API development, we’d love to connect with you.

Required Skills:

PySpark & distributed data processing
Python API development using FastAPI or Flask
Google Cloud Platform (GCP): BigQuery, Composer, DAGs, Cloud Storage
Batch and real-time data pipeline development
Data quality, monitoring, and validation frameworks
Performance optimization and security best practices
BI tools such as Power BI and MicroStrategy

Job Details
Experience Required: 9+ years
Location: Salt Lake City, UT, and multiple locations
Opportunity Type: Enterprise-level projects