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Python Data Jobs in Dallas, TX (NOW HIRING)

Kaav Inc.

Data Scientist

Plano, TX

* We are seeking a highly skilled and motivated Data Scientist to join our team As a Data Scientist ... Analyze large complex datasets to identify trends patterns and correlations using SQL and Python

Resource Informatics Group

Sr Data Analyst

Irving, TX · On-site

$82.60K - $104.20K/yr

Responsibilities include Developing Python scripts to automate validations for data quality and quantity. Creating and maintaining automation scripts using Python and Linux Shell Scripting for ...

Samprasoft

Senior Data Engineer

Roanoke, TX · Hybrid

$101.80K - $138.30K/yr

Data Engineer - AWS, Python, SQL Location: Hybrid Model (5 days in month), Durham NC, Westlake TX, Boston MA, New Jersey NJ Duration: Long term The Expertise and Skills You Bring: * Has Bachelor's or ...

NTT DATA

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Python Developer NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking ...

NTT DATA

Hybrid Python Developer

Irving, TX · Hybrid

$48.25 - $66.50/hr

Hybrid Python Developer NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking ...

NTT Data Americas, Inc.

Python Developer

Irving, TX

$48.25 - $66.50/hr

NTT DATA's Client is currently seeking a Python Developer to join their team in Irving, Texas (US ... TX), United States (US). JD - Python Developer Day to Day job Duties: * Design, develop, test, and ...

LTIMindtree

Sr Big Data PySpark- Full time

Irving, TX

$53.50 - $70.75/hr

Develop and maintain robust and scalable data pipelines using Apache Spark and Python Collaborate with data scientists and analysts to optimize data workflows and enhance data quality Ensure data ...

NTT DATA Services

Hybrid Python Developer

Irving, TX · On-site +1

$48.25 - $66.50/hr

Req ID: 369275 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Hybrid Python Developer to join our team in Irving, Texas (US-TX), ...

NTT DATA Services

Hybrid Python Developer

Irving, TX · On-site +1

$48 - $66.25/hr

Req ID: 369275 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Hybrid Python Developer to join our team in Irving, Texas (US-TX), ...

NTT DATA Services

Hybrid Python Developer

Irving, TX · On-site

$48 - $66.25/hr

Req ID: 369275 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Hybrid Python Developer to join our team in Irving, Texas (US-TX), ...

SynergisticIT

Entry level data scientist

Dallas, TX

$17 - $22/hr

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. Who should apply? Recent computer science/engineering ...

NTT DATA

Python Gen AI Developer

Irving, TX

$48.25 - $66.50/hr

Python Gen AI Developer NTT DATA's client is seeking a Python Gen AI Developer to design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX. This includes ...

NTT Data Americas, Inc.

Hybrid Python Developer

Irving, TX · On-site +1

$48.25 - $66.50/hr

Req ID: 369275 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Hybrid Python Developer to join our team in Irving, Texas (US-TX), ...

SynergisticIT

Junior Data Analyst

Dallas, TX · On-site

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

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All JobsPython Data JobsPython Data Jobs in Dallas, TX

Python Data information

See Dallas, TX salary details

$13

$57

$85

How much do python data jobs pay per hour?

As of Jun 1, 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 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 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 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 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
Python Developer (Portfolio Analytics) WLK or MMK

Python Developer (Portfolio Analytics) WLK or MMK

Samprasoft

Roanoke, TX • On-site

$48.25 - $66.50/hr

Other

Posted 20 days ago

Job description

The Role

The Fidelity Fund and Investment Operations (FFIO) technology team is looking for a Python Developer with a diverse skill set. The successful candidate will have a strong background in Python development, with experience in designing, implementing, and delivering high-quality software solutions. The primary focus will be on developing applications for acquiring, storing, and calculating on large volumes of data using mathematical formulas.

Responsibilities:
  • Design, develop, and implement complex Python data computation applications.
  • Lead the design and implementation of key features and components of our product suite.
  • Collaborate with cross-functional teams to define, design, and deliver new features.
  • Ensure code quality, adherence to coding standards, and maintainability through linting and automated testing.
  • Mentor junior developers, conduct code reviews, and ensure software deliverables meet high-quality standards.
  • Troubleshoot and resolve software defects and other technical issues.
Qualifications:
  • Proven experience as a Senior Python Developer primarily backend applications
  • Strong knowledge of Python and familiarity with various Python libraries and frameworks such as Pandas, NumPy, Flask, Django, Fast API
  • Understanding of code quality, DevSecOps, and automated testing.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and the ability to work as part of a team.
  • Experience in leading a team or mentoring junior developers is a plus.
  • Willing
Preferred Qualifications:
  • Familiarity with Agile development methodologies.
  • Experience with cloud platforms like AWS, Google Cloud, or Azure.
  • Experience with Docker or other containerization technologies.
  • Experience Analytical platforms like Snowflake
  • Experience with financial services data
The Team:
  • The Fidelity Fund and Investment Operations (FFIO) Performance Attribution technology team is responsible for the production of daily transaction-based attribution analytics at the holding's level for use by the application’s consumers who include Senior Investment Staff, Portfolio Managers, Chief Investment Officers, Research groups, Distribution Channels, Board of Trustees & Shareholders. The highly sophisticated performance attribution system is continually improving in response to challenges posed by, among others, changes in investment management strategy, the introduction of new investment products, and changes to upstream or interfacing applications.

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