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Python Data Jobs in Dallas, TX (NOW HIRING)

Virtusa

Gen AI developer

Irving, TX

$116K - $157K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field 7-10+ years of experience developing scalable applications, including AI/ML systemsStrong expertise in Python and ...

Tata Consultancy Service Limited

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

Role Summary We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, Fivetran, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal ...

PSRTEK

Data Engineer at Fort Worth, TX

Fort Worth, TX · On-site

$109K - $131K/yr

Strong Python (data manipulation, packaging, testing) and FastAPI (async programming, dependency injection, Pydantic models, routers, middleware). * Hands-on experience with AWS Glue (Jobs, Crawlers ...

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

You will be responsible for building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks.

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

You will be responsible for building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks.

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How much do python data jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python data in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 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 Dallas, TX?

For Python Data jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Python Data jobs in Dallas, TX look for?

The top searched job categories for Python Data jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Python Data jobs?

Cities near Dallas, TX with the most Python Data job openings:

Python Data jobs near you
Infographic showing various Python Data job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,620 per year, or $58 per hour.

Python data engineer;

Intellisoft Technologies

Dallas, TX • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Intellisoft Technologies is looking for a Python Data Engineer to join their team in Dallas. The role involves developing automation solutions within complex, enterprise-scale environments, utilizing Python and various ecosystem tools for data processing and workflow orchestration.
Responsibilities:
• developing automation solutions within complex, enterprise-scale environments
• designing and maintaining automated business processes, including scripting, task scheduling, error handling, logging, and performance optimization
• writing optimized SQL queries, stored procedures, and troubleshooting performance issues
• working with Snowflake, including Snowflake SQL, data pipeline interactions, and integration with Python
• collaborating with business process owners to translate manual workflows into fully automated, fault-tolerant solutions
Qualifications:
Required:
• 5 years professional experience developing automation solutions within complex, enterprise-scale environments
• Strong proficiency with Python ecosystem tools and libraries used for automation, data processing, API integration, and workflow orchestration (e.g., pandas, SQL Alchemy, requests, PyTest)
• Hands-on experience designing and maintaining automated business processes, including scripting, task scheduling, error handling, logging, and performance optimization
• Solid working knowledge of SQL Server writing optimized SQL queries, stored procedures, and troubleshooting performance issues
• Practical experience with Snowflake, including Snowflake SQL, data pipeline interactions, and integration with Python
• Experience working with enterprise data environments, version control (Git), CICD pipelines, and secure deployment practices
• Familiarity with cloud or hybrid environments (AWS) and integrating Python automations with cloud-based services
• Ability to collaborate with business process owners to translate manual workflows into fully automated, fault-tolerant solutions
Company:
Intellisoft Technologies is an information technology company offering big data and clouding solutions. Founded in 1997, the company is headquartered in Irving, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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