ZipRecruiter

Log In

1

Python Analytics Jobs in Texas (NOW HIRING)

Galax-Esystems Corp

Python Architect

Austin, TX · On-site

Python Architect - Reporting & Data Engineer Location - Austin Texas Contract Position About the ... Performance & Optimization Analyze system performance and bottlenecks; implement optimization ...

New

AllRight Jobs Inc

Python Developer ARJ/118

Houston, TX · On-site

$90 - $95/hr

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 ...

VLink Inc

Allvue/Python Developer

Westlake, TX · On-site

$48.25 - $66.50/hr

Integrate the Allvue API's with internal portfolio management systems using Python, enabling seamless data flow for investment reporting and analytics. * Integrate Allvue API endpoints to synchronize ...

New

Superlogix, Inc

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)

Superlogix, Inc

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)

Kaav Inc

Python Engineer-W2

Plano, TX · On-site

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 ...

Apex Informatics

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 ...

Kanak Elite Services Inc

Sr. Python Developer

Houston, TX · On-site

$116K - $156K/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 ...

Avance Consulting Services

Python Developer

Plano, TX

$48 - $66.25/hr

Role: Python Developer Location: Plano TX Duration: Full Time / Permanent Qualifications Basic ... Analytical skills * Ability to work in team in diverse/ multiple stakeholder environment

Sarian Solutions

R + Python Developer

Plano, TX · On-site

$48 - $66.25/hr

Plano, TX Duration: Full-Time 5+ years of application programming experience 2+ years of Hands on experience in python development 2+ years of Hands on experience with R Analytics. Additional ...

Finance of America Companies

Python Developer II

Plano, TX · On-site +1

$47 - $64.75/hr

... Python Developer II in Plano TX. Telecommuting permitted. Summary of Duties: Participate in the ... Contribute to an analytics program by developing new and enhancing existing applications.

Vitol

Python Data Engineer

Houston, TX · On-site

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

Vitol

Python Data Engineer

Houston, TX · On-site

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

Snowrelic Inc

Python Developer

Houston, TX · On-site

$48 - $66.25/hr

Python Developer Location: Houston , TX Roles and Responsibilities: * Must be able to work ... Excellent analytical, problem-solving, coding, testing, and automation skill * Object-orientated ...

Kanshe Infotech

Senior React/Python Developer

Winters, TX · On-site

$115K - $155K/yr

Collaborate with traders, analysts, product owners, and business teams to deliver technical ... Strong experience with Python (Pandas, ETL). * Advanced experience with React, JavaScript, HTML ...

next page

Showing results 1-20

All JobsPython Analytics JobsPython Analytics Jobs in Texas

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 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.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

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 salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
What are popular job titles related to Python Analytics jobs in Texas? For Python Analytics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Texas look for? The top searched job categories for Python Analytics jobs in Texas are:
What cities in Texas are hiring for Python Analytics jobs? Cities in Texas with the most Python Analytics job openings:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Texas as of July 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Python Architect

Galax-Esystems Corp

Austin, TX • On-site

Other

Posted 7 days ago

New

Job description

Python Architect – Reporting & Data Engineer 

Location – Austin Texas

Contract Position

 About the Role: We are seeking an experienced Python Architect with 8+ years of expertise in designing scalable, high- performance data and reporting systems.

The ideal candidate will lead architectural decisions, define best practices, and build robust data platforms leveraging Python, cloud technologies, and modern data engineering frameworks.

This role requires strong technical leadership, deep expertise in Python ecosystems, and experience designing enterprise-grade data pipelines, reporting systems, and API platforms.

Key Responsibilities: Architecture & Design

Define and drive the overall architecture for reporting and data engineering platforms.

Design scalable, secure, and high-performance systems using Python and cloud-native technologies.

Create architecture blueprints for data pipelines, reporting engines, and API frameworks.

Establish coding standards, design patterns, and best practices across teams.

Data Engineering & Reporting

Architect data processing pipelines using Python (pandas, NumPy, PySpark where applicable).  Design and optimize report generation frameworks (PDF/Excel) using tools like Report Lab and template engines.

Ensure efficient handling of large datasets and real-time data processing.

Define strategies for data modelling, transformation, and storage. Backend & API Development Architect and oversee development of RESTful and microservices-based APIs using Fast API/Flask.  Ensure API scalability, security, and performance optimization.

Implement caching strategies using Redis or similar technologies.

Cloud & DevOps

Lead cloud architecture using AWS services (Lambda, S3, EC2, CloudWatch, etc.).

Define and implement CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins).

Drive containerization strategy using Docker/Kubernetes.

Ensure high availability, monitoring, and system reliability. Performance & Optimization

Analyze system performance and bottlenecks; implement optimization strategies.

Design fault-tolerant and resilient systems. Implement logging, monitoring, and alerting frameworks. Leadership & Collaboration

Provide technical leadership and mentorship to engineering teams. • Collaborate with product managers, stakeholders, and cross-functional teams. • Conduct code reviews, architecture reviews, and technical audits. • Drive innovation and continuous improvement across the engineering lifecycle.

Required Skills:

8+ years of experience in Python development and system architecture

Strong expertise in: 

1. Python (advanced concepts, concurrency, performance tuning)

2. Data libraries like pandas, NumPy

3. API frameworks (Fast API, Flask)

Deep experience with PostgreSQL or other RDBMS 

Strong understanding of system design, microservices architecture, and distributed systems   Experience with cloud platforms (AWS preferred) 

Knowledge of caching mechanisms (Redis) 

Experience with CI/CD pipelines and DevOps practices 

Strong problem-solving, leadership, and communication skills Good to have

Experience with big data frameworks (Spark, Dask)

Exposure to event-driven architectures and message queues (Ka fka, RabbitMQ)

Experience in financial data systems or reporting platforms

Knowledge of data governance, security, and compliance

Hands-on experience in container orchestration (Kubernetes)

EDUCATION: Bachelor’s Degree or Master’s in Computer Science, Engineering, Software Engineering or a relevant field

Apply