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Python Data Jobs in Phoenix, AZ (NOW HIRING)

Data Architect

Chandler, AZ

$61.50 - $79/hr

We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational Analytics with a focus on secure, scalable, and resilient systems. This role will focus on developing ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Use Python for scripting, automation, data processing, and validation tasks * Support AI/ML and GenAI teams with data requirements, vector databases, embeddings, and RAG patterns * Create and ...

Data Analyst

Phoenix, AZ · On-site

$95K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Write and maintain Python scripts to support data analysis and automation workflows. * Collaborate closely with product and data science stakeholders to align on priorities and deliverables. * Lead a ...

Posted today

Proficiency in SQL, Python, R, or other data analysis tools. * Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio. * Strong understanding of statistical ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Python, Java, C++, JavaScript • Experience with big data preprocessing and transformation tools and process Preferred : • 1+ year of experience in big data technologies (Cassandra, HBase, Spark ...

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Spark, Python, GCP is must have * Strong experience with Spark , Data Frames * Big Query background with data processing for large volumes * Another NO Sql DB is big plus - Spanner DB & Graph DB ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Spark, Python, GCP is must have * Strong experience with Spark , Data Frames * Big Query background with data processing for large volumes * Another NO Sql DB is big plus - Spanner DB & Graph DB ...

Must have 5-8 years of Data Engineering experience in a Big Data environment • Strong Data transformation/ETL skills using Spark, Python, PySpark, HiveQL • Must have hands on experience building ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Spark, Python, GCP is must have * Strong experience with Spark , Data Frames * Big Query background with data processing for large volumes * Another NO Sql DB is big plus - Spanner DB & Graph DB ...

Full Stack Python Developer

Chandler, AZ

$70 - $96/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create and maintain data pipelines and service integrations * Collaborate across teams to define ... Strong Python development experience with the ability to build and deploy end-to-end solutions

Key Responsibilities: - Design and implement advanced machine learning algorithms for time series forecasting. - Conduct exploratory data analysis using Python, SQL, and other tools. - Develop and ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Python, SQL * Libraries & Frameworks:Scikit- learn,XGBoost,LightGBM, Pandas, NumPy, NLP libraries * Visualization:Power BI, Plotly, Matplotlib, Seaborn Data Analysis & Insights: * Conduct exploratory ...

Showing results 41-60

Python Data information

See Phoenix, AZ salary details

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$58

$85

How much do python data jobs pay per hour?

As of Aug 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 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 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 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.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

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:

Infographic showing various Python Data job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,068 per year, or $58.2 per hour.

$61.50 - $79/hr

Full-time

Re-posted 3 days ago


Job description

Hands-on experience with AWS services:
S3 for data storage and management
Athena for querying data
Step Functions & Lambda for orchestration and automation
SageMaker for ML workflows
AWS Bedrock for LLM-powered conversational agents
Strong proficiency in Python for data engineering, automation, and API integration.
Experience building knowledgebases and conversational agents (Conversight or equivalent).
Strong SQL skills and familiarity with large-scale data environments.
Solid understanding of ETL design, orchestration, and optimization in cloud platforms. 

We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational Analytics with a focus on secure, scalable, and resilient systems. This role will focus on developing knowledgebases and agents that allow business users to interact with data through natural language, while ensuring reliability, scalability, and efficiency across AWS cloud infrastructure.
Key Responsibilities
* Design, build, and optimize data pipelines using AWS
* Implement security best practices across data and AI pipelines
* Develop and maintain knowledgebases and agents and integrate structured and unstructured data sources
* Implement and support machine learning workflows in SageMaker for model training, deployment, and monitoring.
* Leverage AWS Bedrock to build and deploy conversational AI solutions.
* Ensure data lineage, and quality control across all conversational AI systems.
* Automate orchestration, monitoring, and logging for data pipelines and conversational agents.
* Build and maintain CI/CD pipelines to enable secure, automated, and reliable deployments
* Collaborate with analytics, product, and business teams to design solutions that improve decision-making and data democratization.
Required Skills & Qualifications
* 2+ Years Hands-on experience with AWS services (S3, Athena, Lambda, Step Functions, Redshift Serverless, SageMaker, Bedrock)
* Strong proficiency in Python for data engineering, automation, and API integration.
* Experience building knowledgebases and conversational agents or equivalent.
* Strong SQL skills and familiarity with large-scale data environments.
* Solid understanding of ETL design, orchestration, and optimization in cloud platforms.
Preferred Qualifications
* Experience with LLM integration into business workflows.
* Familiarity with lakehouse frameworks (Iceberg, Delta) for scalable analytics.
* Experience with DevOps/Infra-as-Code (Terraform, CloudFormation).
* Background in marketing analytics or customer intelligence use cases. 
Education:Employment Type: FULL_TIME

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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

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