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Senior Python Engineer Jobs in Texas (NOW HIRING)

Sr Python Developer

Houston, TX · On-site

$116K - $156K/yr

Our client is looking for a Python Developer to join their team. This is a full-time opportunity in Houston, TX with our top energy trading client. Position Core Responsibilities: * Writing modular ...

Sr Python Developer

Houston, TX

$116K - $156K/yr

Our client is looking for a Python Developer to join their team. This is a full-time opportunity in Houston, TX with our top energy trading client. Position Core Responsibilities: * Writing modular ...

Senior Python AWS Developer

Houston, TX · On-site

$116K - $156K/yr

Job Summary : eTeam is seeking a Senior Python AWS Developer to collaborate with business and other teams to understand requirements and deliver project outcomes. This role involves participating in ...

Title: Sr. Automation Python Engineer Location: Plano, Texas Duration: Long-term Description: An individual who fills this role will be responsible for designing, developing, and testing Python code ...

Senior Python Developer

Austin, TX · On-site

$120K - $162K/yr

Strong coding Skills in Python and SQL Create diverse, well-structured python code samples Resolving git and GitHub-related issues on open-source projects Diagnosing and fixing merge conflicts ...

Senior Python Developer

Austin, TX · On-site

$120K - $162K/yr

Strong coding Skills in Python and SQL Create diverse, well-structured python code samples Resolving git and GitHub-related issues on open-source projects Diagnosing and fixing merge conflicts ...

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Showing results 1-20

Senior Python Engineer information

See Texas salary details

$51.2K

$132.3K

$181.7K

How much do senior python engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for senior python engineer in Texas is $132,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $152,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Python Engineer, you need expert knowledge of Python programming, software architecture, and experience with web frameworks, supported by a degree in computer science or related field. Familiarity with tools like Django, Flask, REST APIs, Docker, and version control systems such as Git is typically required, along with possible certifications in cloud technologies or Python itself. Strong problem-solving abilities, leadership, and effective communication skills help you lead teams and collaborate across departments. These skills ensure robust, scalable software solutions and foster innovation and efficiency within development projects.

What does a Senior Python Engineer do?

A Senior Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often take on leadership roles within development teams, contribute to architectural decisions, and mentor junior engineers. Senior Python Engineers work on complex projects, ensure code quality, and help implement best practices to improve efficiency and reliability. Their work may span back-end development, data engineering, automation, and integrating with other technologies.

What are the common challenges Senior Python Engineers face when leading projects, and how can they effectively address them?

Senior Python Engineers often encounter challenges such as balancing hands-on coding with overseeing project architecture, mentoring junior developers, and ensuring code quality across the team. Effectively addressing these challenges involves strong communication, setting clear coding standards, and fostering a collaborative environment through regular code reviews and knowledge-sharing sessions. Staying updated on best practices and leveraging automation tools for testing and deployment can also help streamline workflows and maintain high-quality deliverables.
What are the most commonly searched types of Python Engineer jobs in Texas? The most popular types of Python Engineer jobs in Texas are:
What job categories do people searching Senior Python Engineer jobs in Texas look for? The top searched job categories for Senior Python Engineer jobs in Texas are:
What cities in Texas are hiring for Senior Python Engineer jobs? Cities in Texas with the most Senior Python Engineer job openings:
Infographic showing various Senior Python Engineer job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $132,272 per year, or $63.6 per hour.

$116K - $157K/yr

Other

Re-posted 27 days ago


Job description

MUST HAVE SKILLS (Most Important):
Bachelor's degree in computer science, Engineering, or related field.
We are seeking a skilled Python Developer with expertise in PostgreSQL database management, spatial data handling, and multiprocessing solutions.
- Proven experience (8 years) in Python development, with a focus on data processing and analysis of spatial data.
- Strong proficiency in PostgreSQL database management, including schema design, query optimization, and performance tuning.
- Experience working with spatial data formats (e.g., GeoJSON, Shapefiles) and libraries (e.g., GeoPandas, Shapely).
- Familiarity with multiprocessing techniques and libraries (e.g., multiprocessing, concurrent. futures) for parallel processing.
- Excellent problem-solving skills and ability to work effectively in a fast-paced, collaborative environment.
- Strong communication skills and ability to articulate technical concepts to non-technical stakeholders.
Responsibilities:
- Design, develop, and maintain Python-based applications and tools for spatial data analysis and visualization.
- Implement and optimize PostgreSQL database schemas, queries, and performance tuning for spatial data management.
- Develop multiprocessing solutions to enhance data processing efficiency and scalability.
- Collaborate with cross-functional teams to understand requirements and deliver robust, scalable solutions.
- Stay updated on industry trends and emerging technologies in spatial data analysis, Python development, and database management.