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Python Analyst Jobs in Austin, TX (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 ...

Aivra Health LLC

Python Backend Developer

Austin, TX · On-site

Excellent analytical and problem-solving skills. Preferred Skills * Python * Django * Flask * FastAPI * PostgreSQL * MySQL * Redis * REST APIs * Docker * Git * AWS * Linux Benefits * Health Insurance

Hireblazer

Senior Python Developer

Austin, TX · On-site

$120K - $162K/yr

Senior Python Developer Duration: 4 Months Location: Austin, TX 78751. The working position is ... Confers with personnel of organizational units involved to analyze current operational procedures ...

Solomon Page

Data Analyst

Austin, TX · On-site

$40 - $50/hr

Develop Python-based analytical solutions for data processing and automation. * Evaluate data quality and identify opportunities to improve reporting accuracy and consistency. * Create methodologies ...

SpyCloud

Security Data Analyst - Parsing

Austin, TX · On-site +1

$111K - $144K/yr

We are looking for a passionate Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis ...

Pwc

GenAI Python Systems Engineer-Manager

Austin, TX

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

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Python Analyst information

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$33.7K

$81.9K

$134.8K

How much do python analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for python analyst in Austin, TX is $81,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,100.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Python Analyst?

Python Analysts spend their days gathering, cleaning, and analyzing large datasets to uncover actionable insights for their organizations. They write and maintain Python scripts to automate repetitive tasks and use data visualization tools to present their findings to stakeholders. Collaboration with data scientists, business analysts, and IT team members is common, as analysts work to translate data into meaningful recommendations. You'll also regularly validate data quality, troubleshoot code, and stay current with best practices in data analytics. This role offers a dynamic mix of technical work and cross-functional teamwork.

What is a Python Analyst job?

A Python Analyst is a professional who uses Python to analyze data, build models, and automate tasks. They work with large datasets, extract insights, and create reports to support decision-making. Their role often involves data cleaning, visualization, statistical analysis, and scripting for process automation. Python Analysts are commonly found in industries such as finance, healthcare, marketing, and technology. Strong analytical skills, programming expertise, and knowledge of data analysis libraries like Pandas and NumPy are essential for this role.

What are the key skills and qualifications needed to thrive in the Python Analyst position, and why are they important?

To thrive as a Python Analyst, you need strong proficiency in Python programming, data analysis, and statistical methods, often supported by a degree in computer science, mathematics, or a related field. Experience with data visualization tools, SQL databases, and certifications such as Microsoft Certified: Data Analyst Associate or relevant Python credentials are highly beneficial. Excellent problem-solving skills, attention to detail, and effective communication help set top candidates apart. These skills ensure the accurate analysis and presentation of data, enabling informed decision-making and collaboration within organizations.

What are the most commonly searched types of Python Analyst jobs in Austin, TX? The most popular types of Python Analyst jobs in Austin, TX are:
What are popular job titles related to Python Analyst jobs in Austin, TX? For Python Analyst jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Python Analyst jobs in Austin, TX look for? The top searched job categories for Python Analyst jobs in Austin, TX are:
Python Analyst jobs near you
Infographic showing various Python Analyst job openings in Austin, TX as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $81,894 per year, or $39.4 per hour.

Python Architect

Galax-Esystems Corp

Austin, TX • On-site

Other

Posted 18 days ago

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