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Python Data Jobs (NOW HIRING)

Mindlance

Python Developer

Washington, DC · On-site

$57 - $78.50/hr

The Enterprise Data Management (EDM) team is seeking a Python ETL Developer to work on sourcing data to their cloud platform. The candidate should have prior experience working in Python data stack ...

Mindlance

Python Programmer

Washington, DC · On-site

The Enterprise Data Management (EDM) team is seeking a Python ETL Developer to work on sourcing data to their cloud platform. The candidate should have prior experience working in Python data stack ...

Mindlance

Python Developer

Washington, DC · On-site

$57 - $78.50/hr

The Enterprise Data Management (EDM) team is seeking a Python ETL Developer to work on sourcing data to their cloud platform. The candidate should have prior experience working in Python data stack ...

Oraapps Inc

Senior Python Developer

Raleigh, NC · On-site

$118K - $158K/yr

Senior Python Data Migration Developer Location: On-site - Raleigh, NC Contract position Summary We are seeking a Senior Python Data Migration Developer to design, develop, and support data pipelines ...

Infosys Limited

AWS Python Data Architect

Raleigh, NC · On-site

$150 - $190/hr

Experience in AWS Glue & ETL Engineering - Designing scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python. * Experience in Data Warehouse Design - Dimensional modeling, star/snowflake ...

ClifyX

Python Automation lead

Austin, TX · On-site

ClifyX is a company seeking a Senior Specialist in Python Automation with a strong background in ... The role involves designing and implementing scalable data-driven solutions, developing high ...

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How much do python data jobs pay per hour?

As of Aug 22, 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 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.
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Python Data jobs near you
Infographic showing various Python Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Snowflake & Python Data Engineer

RIT Solutions, Inc.

Alpharetta, GA • On-site

$108K - $130K/yr

Full-time

Re-posted 7 days ago

Job description

Job Summary:
RIT Solutions, Inc. is seeking a Senior Snowflake & Python Data Engineer for a contract role. The candidate will be responsible for delivering end-to-end data engineering solutions, working with technologies such as Snowflake, Python, and PySpark, while collaborating effectively with cross-functional teams.
Responsibilities:
• 7+ years of experience in data engineering or backend development roles
• Strong hands-on experience with Python, PySpark, and Snowflake
• Proven expertise in Snowflake data modeling, performance tuning, and optimization
• Experience working with Snowflake Cortex AI or similar AI-enabled data platform capabilities
• Solid understanding of modern data warehousing concepts (dimensional modeling, ELT/ETL, data marts, optimization strategies)
• Advanced SQL skills and experience designing scalable data models
• Experience delivering end-to-end data engineering solutions in cloud-based environments
• Working knowledge of React.js for building or supporting data-driven front-end applications
• Strong understanding of distributed data processing frameworks
• Experience with cloud platforms (AWS, Azure, or GCP)
• Strong understanding of data security, governance, and compliance best practices
• Proven ability to collaborate effectively with cross-functional teams in complex enterprise environments
Qualifications:
Required:
• 7+ years of experience in data engineering or backend development roles
• Strong hands-on experience with Python, PySpark, and Snowflake
• Proven expertise in Snowflake data modeling, performance tuning, and optimization
• Solid understanding of modern data warehousing concepts (dimensional modeling, ELT/ETL, data marts, optimization strategies)
• Advanced SQL skills and experience designing scalable data models
• Experience delivering end-to-end data engineering solutions in cloud-based environments
• Strong understanding of distributed data processing frameworks
• Experience with cloud platforms (AWS, Azure, or GCP)
• Strong understanding of data security, governance, and compliance best practices
• Proven ability to collaborate effectively with cross-functional teams in complex enterprise environments
Preferred:
• Experience working with Snowflake Cortex AI or similar AI-enabled data platform capabilities
• Working knowledge of React.js for building or supporting data-driven front-end applications
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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