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Python Data Jobs (NOW HIRING)

United Airlines

GCP Python Data Engineer

Manhattan, NY

$115K - $145K/yr

About the Role We are seeking a highly skilled GCP Python Data Engineer to design, build, and optimize scalable cloud-based data solutions on Google Cloud Platform (GCP). The ideal candidate will ...

Capgemini

GCP Python Data Engineer

New York, NY · On-site

$115K - $145K/yr

About the Role We are seeking a highly skilled GCP Python Data Engineer to design, build, and optimize scalable cloud-based data solutions on Google Cloud Platform (GCP). The ideal candidate will ...

Capgemini

GCP Python Data Engineer

Manhattan, NY · On-site

$115K - $145K/yr

About the Role We are seeking a highly skilled GCP Python Data Engineer to design, build, and optimize scalable cloud-based data solutions on Google Cloud Platform (GCP). The ideal candidate will ...

New

Infosys

AWS Python Data Engineer

Hartford, CT · On-site

... Python libraries and scripting • Experience with CI/CD (GitLab, Git), Docker & Kubernetes ... We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to ...

Infosys Limited

We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to ... Experience in Python libraries and scripting * Experience with CI/CD (GitLab, Git), Docker ...

Infosys Limited

AWS Python Data Architect

Raleigh, NC · On-site

$62 - $79.75/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 ...

Infosys Limited

AWS Python Data Engineer

Raleigh, NC · On-site

We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to ... Experience in Python libraries and scripting * Experience with CI/CD (GitLab, Git), Docker ...

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 ...

Infosys

AWS Python Data Engineer

Hartford, CT · On-site

... Python libraries and scripting • Experience with CI/CD (GitLab, Git), Docker & Kubernetes ... We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to ...

Infosys Limited

AWS Python Data Engineer

Hartford, CT · On-site

We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to ... Experience in Python libraries and scripting * Experience with CI/CD (GitLab, Git), Docker ...

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Python Data information

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How much do python data jobs pay per hour?

As of Sep 12, 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python Developer/Data Engineer

Spring, TX • On-site

HCL Global Systems Inc
IT Services • 1 - 5K employees
Learn more about HCL Global Systems Incexternal

$44.75 - $61.50/hr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
HCL Global Systems Inc is seeking a Senior Python Data Engineer to work closely with reservoir engineering and analyst teams. The role involves productionizing analytical code and automating data manipulations while ensuring compliance with company standards.
Responsibilities:
• Work with different teams to understand existing analytical workflows and models.
• Refactor and productionize Python code mainly for maintainability. Performance and scalability are secondary for this work.
• Develop and deploy automated solutions in Databricks and integrate with Spotfire dashboards.
• Implement best practices for version control, testing, and documentation.
• Ensure data security and compliance with company standards.
Qualifications:
Required:
• Advanced Python (data manipulation, automation, and object-oriented programming).
• Databricks (PySpark and SQL data manipulation), Spotfire (data visualization and integration).
• ETL processes, data pipelines, and cloud-based workflows.
• Git/GitHub.
• Unit testing, CI/CD pipelines.
• Knowledge of reservoir engineering workflows and oil & gas industry data.
• Ability to interpret and refactor code developed by reservoir engineer into robust, production-ready solution.
• 5+ years of professional experience in Python development.
• 3+ years working with data platforms such as Databricks and visualization tools like Spotfire.
• Experience collaborating with engineering or scientific teams to productionize existing code.
• Proven track record of building scalable, maintainable solutions in a data-driven environment.
Preferred:
• Familiarity with Azure cloud environments.
• Experience with performance tuning and optimization of analytical models.
Company:
HCL Global Systems is a staffing and recruiting company providing consulting and business solutions. Founded in 2005, the company is headquartered in Farmington Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About HCL Global Systems

Sourced by ZipRecruiter

HCL Global Systems is One of the Best IT Consulting Firm specialized in Application Development, Quality Testing, IT Courses Training, Staffing and Recruitment services. With wide range of experience, We are confident in our ability to help our Customers grow and improve their businesses. More than likely, regardless of the nature and scope of the problem, Our dedicated Team of Professionals can help you to achieve a cost effective business solution.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

2005

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