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Python Data Jobs in Phoenix, AZ (NOW HIRING)

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 ...

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 ...

Python Developer

Chandler, AZ · Hybrid

$51.25 - $70.75/hr

Advanced experience with data preparation, Python data structures, and Pandas. * 8+ years of working with relational and NoSQL databases, including strong SQL fundamentals and ORM experience with ...

Python Developer

Chandler, AZ · Hybrid

$51.25 - $70.75/hr

... with data preparation, Python data structures, and Pandas. · 8+ years of working with relational and NoSQL databases, including strong SQL fundamentals and ORM experience with SQLAlchemy.

Python Developer

Chandler, AZ · Hybrid

$51.25 - $70.75/hr

... with data preparation, Python data structures, and Pandas. • 8+ years of working with relational and NoSQL databases, including strong SQL fundamentals and ORM experience with SQLAlchemy.

Python Data Engineer The Python Developer will be responsible for designing, building, documenting, and maintaining scalable data pipelines and data integration platforms that support enterprise ...

Python Data Engineer Location: Chandler, Arizona (Onsite) Employment Type: Contract Role Overview The Python Developer will be responsible for designing, building, documenting, and maintaining ...

Python Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

Strongsville- OH / Phoenix AZ / Dallas TX / Pittsburgh PA Duration: Full Time • Python Developer with 6 to 8 years of experience in design, develop, and maintain applications and data solutions ...

Familiarity with Python or R for data wrangling and analysis * Understanding of data modeling and visualization best practices * Excellent communication and problem-solving skills Additional Skills

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 ...

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 ...

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 ...

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 ...

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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 May 28, 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 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.

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:
What job categories do people searching Python Data jobs in Phoenix, AZ look for? The top searched job categories for Python Data jobs in Phoenix, AZ are:

Python Data Engineer with GenAI

Tata Consultancy Service Limited

Phoenix, AZ • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Role - Python Data Engineer with GenAI
Experience Required - 4+ Years
Must Have Technical/Functional Skills
• Build and manage scalable data pipelines on GCP using strong Python.
• Develop high performance data and AI APIs using FastAPI.
• Implement RAG and semantic search solutions leveraging vector stores and embeddings.
• Design and maintain Knowledge Graphs to enable context aware GenAI use cases.
• Support Agentic AI and MCP based orchestration for intelligent data workflows.
• Lead data migration, governance, security, and lineage for enterprise AI platforms.
Roles & Responsibilities
• Build and manage scalable data pipelines on GCP using strong Python.
• Develop high performance data and AI APIs using FastAPI.
• Implement RAG and semantic search solutions leveraging vector stores and embeddings.
• Design and maintain Knowledge Graphs to enable context aware GenAI use cases.
• Support Agentic AI and MCP based orchestration for intelligent data workflows.
• Lead data migration, governance, security, and lineage for enterprise AI platforms.
Base Salary Range : $90,000 to $110,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.