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Python Data Jobs in Phoenix, AZ (NOW HIRING)

Vangard, Inc.

Data Analyst, Specialist

Scottsdale, AZ · On-site

You will leverage SQL, Python, AWS, and modern analytics technologies to build scalable data products, automate reporting processes, and deliver actionable insights that support regulatory oversight ...

Sarian, Inc.

Data Engineering

Phoenix, AZ · On-site

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 ...

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

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 ...

Forhyre

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based on functional and ...

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

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

Infosys

Python Ansible Developer

Chandler, AZ · On-site

$49.50 - $68.25/hr

Python, Ansible and shell scripting. • Experience in Ansible is highly recommended to perform day ... We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

Proficiency with programming in Python in data science and/or statistical analytics settings. * Proficiency with relational databases and the ability to write SQL queries. * Proficiency with Excel ...

Futran Tech Solutions Pvt. Ltd.

GCP Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... on Python expertise Strong Data and GCP Vertex AI knowledge 6 years of experience with one of the leading public clouds 6 years of experience in design and build of salable data pipelines that deal ...

Pwc

GenAI Python Systems Engineer-Manager

Phoenix, AZ · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

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All JobsPython Data JobsPython Data Jobs in Phoenix, AZ

Python Data information

See Phoenix, AZ salary details

$13

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$85

How much do python data jobs pay per hour?

As of Jul 9, 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 with strong skills in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries.

What Python jobs are in demand?

Python data-related jobs in demand include data analyst, data scientist, machine learning engineer, and backend developer. These roles often require proficiency in libraries like Pandas, NumPy, and frameworks such as TensorFlow, with employers seeking strong programming skills and experience with data analysis or AI projects.

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.

Will AI replace Python devs?

Python developers are unlikely to be fully replaced by AI, as their role involves designing, coding, and maintaining complex software systems that require human judgment and creativity. AI tools can assist with tasks like code generation and debugging, but human oversight remains essential for quality and innovation. Staying updated with new frameworks and machine learning techniques can help Python developers remain valuable in the evolving tech landscape.

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 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:
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 jobs near you
Infographic showing various Python Data job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,068 per year, or $58.2 per hour.
Data Analyst, Specialist

Data Analyst, Specialist

Vangard, Inc.

Scottsdale, AZ • On-site

Full-time

Re-posted 3 hours ago

Job description

Join the Compliance Risk & OGC Operational Reporting (CROR) Data Domain team and help modernize how Compliance, Risk, and Legal leaders access and use data.


This role sits at the intersection of data analytics, analytics engineering, and data product development. You will leverage SQL, Python, AWS, and modern analytics technologies to build scalable data products, automate reporting processes, and deliver actionable insights that support regulatory oversight, risk management, and operational decision-making.


Successful candidates are curious, technically minded problem-solvers who enjoy building solutions, working with large datasets, and partnering with stakeholders to turn business challenges into data-driven outcomes.
________________________________________
What You'll Do

  • Build and support data products that enable self-service reporting and analytics.

  • Develop SQL- and Python-based solutions to automate data preparation, reporting, and monitoring processes.

  • Analyze and validate data from multiple sources to ensure accuracy, quality, and reliability.

  • Partner with Compliance, Risk, Legal, and Technology stakeholders to understand business needs and translate requirements into scalable analytical solutions.

  • Design and enhance dashboards, visualizations, and lightweight applications that improve access to trusted data and insights.

  • Work within AWS-based data environments to acquire, transform, and analyze data.

  • Contribute to data governance efforts including data quality, metadata management, and documentation.

  • Identify opportunities to reduce manual processes through automation and improved data architecture.

  • Communicate findings, recommendations, and technical concepts effectively to both technical and non-technical audiences.

  • Contribute to agile product teams focused on delivering incremental business value.

________________________________________
Required Qualifications
Bachelor's degree or equivalent combination of training and experience.
Experience using SQL to query, analyze, and transform data.
Experience developing analytical solutions using Python.
Strong analytical and problem-solving capabilities.
Experience working with large and complex datasets.
Ability to translate business requirements into technical solutions.
Strong written and verbal communication skills.
Demonstrated curiosity and ability to learn new technologies quickly.
________________________________________
Preferred Qualifications

  • Experience working in AWS environments (Athena, S3, Glue, SageMaker, EMR, or similar technologies).

  • Experience developing applications using Streamlit or similar frameworks.

  • Experience building dashboards using Tableau, Power BI, or comparable visualization tools.

  • Familiarity with data modeling, ETL/ELT processes, and modern data architectures.

  • Experience using Git or other version-control tools.

  • Experience supporting Compliance, Risk, Audit, Legal, or regulatory reporting functions.

  • Experience working within agile product teams.

________________________________________
Technical Environment
You may work with technologies including:
Python
SQL
AWS (Athena, S3, Glue, SageMaker)
Tableau
Streamlit
Git
Agile delivery practices
________________________________________
What Success Looks Like

  • Deliver trusted data products used by Compliance and Risk leaders.

  • Improve reporting efficiency through automation.

  • Increase data quality, transparency, and governance.

  • Enable faster and more informed business decisions through modern analytics solutions.

  • Continuously build technical expertise while contributing to a culture of innovation and continuous improvement.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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