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Python Data Jobs (NOW HIRING)

AWS Python Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

... Python. • Experience in Data Warehouse Design - Dimensional modeling, star/snowflake schemas, reporting database optimization, and performance tuning. • Experience in Amazon Redshift & S3 ...

$84K - $101K/yr

Senior Python Data Engineer / Applied AI EngineerJob detailsProductUnited StatesFull-time **Senior Python Data Engineer / Applied AI Engineer**---**About The Role*** Join a cybersecurity company ...

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 ...

Python Developer

Columbus, OH · On-site

$47 - $64.75/hr

Python data processing technologies, e.g. Pandas, Numpy * Solid understanding on web applications, e.g. HTML, CSS, javascript * Solid understanding on DB and SQL

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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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What cities are hiring for Python Data jobs?

Cities with the most Python Data job openings:

What states have the most Python Data jobs?

States with the most job openings for Python Data jobs include:

What other helpful pages are available for Python Data?

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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.

Senior Python Data Engineer - SAS Migration

Manhattan, NY • On-site

Capgemini
Technology, Communication and Media • 10K+ employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Location - NYC NY (Day One Onsite - Hybrid)

About The Role

The Senior Python Developer (Migration Lead) will spearhead the end-to-end migration of our risk analytics platform from SAS to a Python-based technology stack.

This leadership role focuses on designing a robust and maintainable Python architecture that meets high standards of performance, scalability, and auditability.

The individual will collaborate with cross-functional teams (including risk analysts, data engineers, and model validation specialists) to ensure a seamless transition of critical risk modeling processes to a modern, automated, and compliant Python environment.

Key Responsibilities
  • Technical Leadership: Lead the design of the new Python-based risk analytics architecture and establish coding standards, best practices, and CI/CD pipelines for the migration project.
  • SAS-to-Python Code Migration: Analyze complex legacy SAS code and macros, then refactor and rewrite them into efficient, well-structured Python code, preserving existing model logic and outputs.
  • Performance & Scalability: Optimize code and algorithms for performance; identify opportunities to leverage data pipelines or distributed processing to handle large datasets and heavy computations within the Python environment.
  • Quality Assurance & Testing: Implement automated testing frameworks to verify that Python outputs match legacy SAS outputs. Work closely with model validation teams to address any discrepancies, ensuring accuracy and regulatory compliance.
  • Collaboration & Knowledge Transfer: Partner with risk analytics stakeholders to thoroughly understand model requirements and ensure their needs are met. Support and mentor team members (including risk analysts) on Python best practices and facilitate knowledge transfer.
  • Documentation & Compliance: Maintain comprehensive technical documentation (designs, code comments, data flow diagrams) to support model risk governance and audit requirements. Ensure all development processes follow internal model risk management policies and quality controls.
Desired Skills & Experience
  • Education & Experience: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (Master's a plus). 7+ years of software development experience with a strong focus on Python for data analysis, modeling, or ETL.
  • Python & SAS Expertise: Expert-level Python programming skills (e.g., proficiency with pandas, NumPy, etc.) and experience interpreting or migrating SAS code in a data-intensive analytics context.
  • Analytics & Architecture: Proven experience building data-intensive applications or analytics platforms (e.g., financial modeling systems, business intelligence pipelines). Skilled in designing architecture for processing large datasets and integrating with databases or data lakes.
  • Software Development Practices: Strong knowledge of the software development lifecycle and best practices, including version control (Git), code reviews, unit/integration testing, and continuous integration/continuous delivery (CI/CD) in a collaborative team environment.
  • Problem-Solving & Communication: Excellent analytical and problem-solving skills with attention to detail. Strong collaboration and communication abilities to work effectively with cross-functional teams and convey technical concepts to non-technical stakeholders.
  • Regulated Industry Knowledge: Experience working in regulated industries or risk analytics environments, with an understanding of the importance of auditability, data governance, and thorough model documentation for compliance.
Life At Capgemini
  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief
Disclaimer

DisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Salary Transparency

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effeCapgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.ctively to drive business outcomes.

The base compensation range for this role in the posted location is:$80420 to $106050Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick LeaveMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)Life and disability insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities.

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