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Python Analytics Jobs in Texas (NOW HIRING)

Python Developer

Dallas, TX · On-site

$50 - $68.75/hr

Core Python Developer ( onsite) Location : Dallas, TX Duration : Fulltime Key Responsibilities ... Familiarity with data analysis libraries such as Pandas, NumPy, or Scikit-learn is a plus.

Python Developer

Westlake, TX

$48.25 - $66.50/hr

Top Skills: 5 years of experience in software development with Python, NodeJS, or Java (Python ... Ability to triage, execute root cause analysis, and be decisive under pressure * Experience ...

Python Developer

Roanoke, TX

$48.25 - $66.50/hr

Strong Analysis skills * Working knowledge of Unix OS /Shell scripting * Basic Python knowledge is required * Good working knowledge of Control-M/Automation tools.

Python Developer

Fort Worth, TX · On-site

$48 - $66.25/hr

Excellent understanding of Python Core concepts, including both functional and class-based design ... Strong analytical and problem-solving skills. * B.S. or M.S. (Computer Science preferred)

Python Developer

Fort Worth, TX

$48 - $66.25/hr

Excellent understanding of Python Core concepts, including both functional and class-based design ... Strong analytical and problem-solving skills. * B.S. or M.S. (Computer Science preferred)

Job Summary - Short-term, 7-week onsite Python Developer role in Houston (5 days/week). - Focus on developing analytics solutions using Python, Databricks, and statistical modeling techniques ...

Python Specialist

Austin, TX · On-site

$180K/yr

Python Specialist Location: Austin, Texas, United States Hire Type: Fixed Term (6 months, eligible ... Analyze existing processes and identify opportunities for automation and optimization * Partner ...

Python Developer

Irving, TX

$48.25 - $66.50/hr

Python Developer This is a development position for establishing and implementing new or revised ... As part of this role, you will be responsible for data extraction and data analysis from structured ...

Python/Machine Learning Developer

Dallas, TX · Remote

$50 - $68.75/hr

Python - Data Manipulation & Analysis: Advanced Additional Skills Requested for Role * Data Center Storage Engineer Intermediate (3-5 years experience) * Python AI Intermediate (3-5 years experience)

Python Specialist

Austin, TX · On-site

$180K/yr

Python Specialist Location: Austin, Texas, United States Hire Type: Fixed Term (6 months, eligible ... Analyze existing processes and identify opportunities for automation and optimization * Partner ...

Python Developer - Oil & Gas Sector

Houston, TX · On-site

$48 - $66/hr

The role involves developing Python-based analytics workflows, building Monte Carlo simulations, and creating visualizations to communicate insights to stakeholders. Responsibilities : • Develop ...

Python Engineer- USC/GC/ GC EAD/ H4 EAD- W2 Location: Charlotte NC/Plano TX - Look for local ... Strong problem-solving and analytical skills, with the ability to troubleshoot complex middleware ...

Python Data Wrangler Internship

Dallas, TX · On-site +1

$50 - $68.75/hr

Pursuing a degree in Computer Science, Data Science, Data Analytics, Applied Statistics, or related field. * 2 or more years of educational experience with statistical programming languages (such as ...

Python Developer

Houston, TX · On-site

$46.25 - $64/hr

Python Developer Location: Houston, TX ( 3 days onsite 2 days remote) look for nearby Candidates ... Contributes to existing test suites (integration, regression, performance). Analyse test reports ...

Python o FastAPI or another backend framework o PANDAS or another analytics package (such as Anaconda) * JavaScript o Vue / React or another frontend framework * MongoDB / DBeaver: Database ...

Python Developer

Irving, TX

$48.25 - $66.50/hr

Python Developer Location: Irving, TX / Tampa, FL / Edison, NJ (Onsite) Fulltime Must Have ... analysis from structured and unstructured sources. You will develop systems to clean results to ...

Sr. Python Developer

Houston, TX · On-site

$116K - $156.10K/yr

Role: SR. PYTHON DEVELOPER Location: Houston, TX (Onsite) local Only Local Houston Strong Python ... Analytics department. The ideal candidate will have a strong background in object-oriented ...

Python Engineer- USC/GC/ GC EAD/ H4 EAD- W2 Location: Charlotte NC/Plano TX - Look for local ... Strong problem-solving and analytical skills, with the ability to troubleshoot complex middleware ...

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Python Analytics information

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Infographic showing various Python Analytics job openings in Texas as of May 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.
Python Developer

Python Developer

Photon

Dallas, TX • On-site

$50 - $68.75/hr

Other

Posted 3 days ago


Job description

URGENT REQUIREMENT

Role : Core Python Developer ( onsite)
Location : Dallas, TX
Duration : Fulltime
Key Responsibilities
  • Application Development: Build and maintain scalable, efficient, and reliable Python code for web applications and backend services.
  • API Integration: Design and implement low-latency, high-availability RESTful APIs and integrate with third-party services and internal databases.
  • Performance Optimization: Identify and fix performance bottlenecks and bugs to ensure the stability and responsiveness of the application.
  • Database Management: Design and optimize database schemas (SQL/NoSQL) and manage data storage solutions.
  • Automation: Create scripts to automate repetitive tasks and improve internal development workflows and CI/CD processes.
  • Security: Implement security and data protection features, including authentication, authorization, and data encryption.
  • Collaboration: Work closely with front-end developers, product managers, and QA teams to align technical solutions with business requirements.
Required Technical Skills
  • Core Language: Expert-level proficiency in Python and its core principles.
  • Web Frameworks: Strong hands-on experience with at least one popular Python framework such as Django, Flask, or FastAPI.
  • ORM Knowledge: Familiarity with Object-Relational Mapping (ORM) libraries like SQLAlchemy or Django ORM.
  • Databases: Proficiency in working with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis).
  • Testing: Experience writing unit tests and integration tests using frameworks like PyTest or Unittest.
  • Frontend Basics: Fundamental understanding of front-end technologies (HTML5, CSS3, JavaScript) to better coordinate with UI/UX teams.
  • Version Control: Proficiency with Git and collaborative workflows (GitHub/Bitbucket).
Preferred Qualifications
  • Cloud Services: Experience deploying applications on cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Containers: Knowledge of Docker and Kubernetes for containerization and orchestration.
  • Asynchronous Programming: Understanding of multi-process architecture and threading, or experience with Celery/RabbitMQ.
  • Data Science Tools: Familiarity with data analysis libraries such as Pandas, NumPy, or Scikit-learn is a plus.
  • Documentation: Strong ability to document technical processes and architectural decisions.