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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 ...

Virtusa

Gen AI developer

Irving, TX

$48.25 - $66.50/hr

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 ...

Tata Consultancy Service Limited

Data Engineer

Irving, TX · On-site

$120K - $130K/yr

Must Have Technical/Functional Skills • SQL Server, Azure SQL, T-SQL • Python (data processing) • ETL / ELT pipeline development • Databricks, Apache Spark, PySpark • Data modeling ...

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

$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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All JobsPython Data JobsPython Data Jobs in Dallas, TX

Python Data information

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How much do python data jobs pay per hour?

As of Jul 27, 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 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 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 July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,620 per year, or $58 per hour.

Pyspark/Python Data Engineer

Tata Consultancy Service Limited

Irving, TX • On-site

$100K - $120K/yr

Full-time

Posted 15 days ago

Job description

Must Have Technical/Functional Skills
We are looking for a skilled PySpark Data Engineer with strong hands-on experience in PySpark and Python to design, build, and optimize scalable data processing pipelines. The ideal candidate will have practical experience working with distributed data processing and a solid foundation in writing efficient, production-grade Python code
Required Technical Skills
- Strong hands-on experience in PySpark (Spark SQL, DataFrame API)
- Advanced proficiency in Python (data processing, performance tuning, modular coding)
- Solid understanding of ETL design patterns and data pipeline architecture
- Good working knowledge of SQL for data transformation and analysis
- Experience with data processing in distributed environments
Preferred Skills (Good to Have)
- Experience with cloud platforms (AWS preferred S3, Glue, EMR or equivalent services)
- Familiarity with workflow orchestration tools such as Airflow or similar schedulers
- Exposure to data warehousing concepts (e.g., Snowflake or similar platforms)
- Knowledge of code versioning (Git) and CI/CD practices
Experience
• 38 years of experience in Data Engineering / PySpark development
• Proven hands-on project experience in PySpark + Python
Roles & Responsibilities
• Design, develop, and maintain ETL/ELT pipelines using PySpark
• Write optimized and scalable PySpark transformations using DataFrames and Spark SQL
• Develop reusable and efficient Python-based data processing components
• Ensure data quality, integrity, and performance across pipelines
• Perform debugging, performance tuning, and optimization of PySpark jobs
• Collaborate with cross-functional teams (Data Analysts, Architects, DevOps)
• Contribute to CI/CD pipelines and deployment workflows for data applications
• Monitor and troubleshoot data workloads in production environments
Salary Range: $100,000 to $120,000 per year

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