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Backend Python Jobs in Texas (NOW HIRING)

AI/ML Engineer

Austin, TX · On-site

$95K - $105K/yr

Experience in building APIs and sharing data between teams * experience as a backend or full stack dev preferably in Python or Typescript * Hands-on experience with cloud services and ...

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Python Developer Irving, TX Duration: 12+ Months Work Mode: Hybrid (3 Days in a week) Technical ... Develop back-end components to improve responsiveness and overall performance. * Integrate user ...

Python + Kubernetes + Mongo DB

Austin, TX · On-site

$49.75 - $68.75/hr

• Support new features and maintenance on existing team security service projects - backend PythonMust Have: • Minimum of 4-5 years of experience in building solutions in Python. • Experience ...

We are looking for an experienced Back-end Developer to join our IT team. You will be responsible ... Hands on experience with programming languages like Java, Ruby, PHP and Python * Working knowledge ...

Austin, TX Strong backend engineering experience (e.g., Python, APIs, cloud infrastructure). Hands-on experience with machine learning model development, training pipelines, and/or ML-based feature ...

Experience in building APIs and sharing data between teams * experience as a backend or full stack dev preferably in Python or Typescript * Hands-on experience with cloud services and ...

AI/ML Engineer

Austin, TX · On-site

$95K - $105K/yr

Experience in building APIs and sharing data between teams * experience as a backend or full stack dev preferably in Python or Typescript * Hands-on experience with cloud services and ...

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Backend Python information

See Texas salary details

$14.9K

$138.1K

$177.9K

How much do backend python jobs pay per year?

As of May 29, 2026, the average yearly pay for backend python in Texas is $138,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,600.00 and $156,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Backend Python Developer, you need strong proficiency in Python, knowledge of backend frameworks (like Django or Flask), and experience with databases, typically supported by a degree in computer science or related fields. Familiarity with tools such as Git, RESTful APIs, Docker, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valuable. Problem-solving ability, teamwork, and effective communication are critical soft skills for collaborating with cross-functional teams and troubleshooting issues. These skills and qualifications are crucial for building scalable, reliable backend systems that power modern applications.

What are common challenges faced by Backend Python developers when integrating with third-party APIs?

Backend Python developers often encounter challenges such as inconsistent API documentation, unexpected data formats, and rate limiting when integrating with third-party APIs. These issues require strong debugging skills, careful error handling, and proactive communication with API providers. Additionally, developers must ensure secure authentication, maintain up-to-date dependencies, and write scalable code to handle varying loads. Collaborating closely with frontend teams is also essential to provide seamless end-to-end functionality.

What are backend Python developers?

Backend Python developers are software engineers who specialize in building and maintaining the server-side components of web applications using the Python programming language. They focus on databases, application logic, APIs, and integration with front-end systems, ensuring that data is processed and served efficiently. These developers often work with frameworks like Django or Flask and collaborate with frontend developers, DevOps, and other team members to deliver robust and scalable web solutions.

What is the difference between Backend Python vs Backend Java?

AspectBackend PythonBackend Java
Required CredentialsBachelor's in CS, Python certificationsBachelor's in CS, Java certifications
Work EnvironmentWeb development, data science, startupsEnterprise applications, large-scale systems
Industry UsageTech startups, data analytics, AIBanking, finance, large corporations
Common Search/ComparisonYesYes

Backend Python and Backend Java are both popular server-side roles but differ in their typical use cases and industry focus. Python is favored for rapid development, data science, and startups, while Java is preferred for large-scale, enterprise applications. Your choice depends on the industry and project requirements.

What are the most commonly searched types of Backend Python jobs in Texas? The most popular types of Backend Python jobs in Texas are:
What are popular job titles related to Backend Python jobs in Texas? For Backend Python jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Backend Python jobs? Cities in Texas with the most Backend Python job openings:
100% REMOTE - Staff Backend Engineer (Python, TypeScript/Node.js, Go, React) - Full Time

100% REMOTE - Staff Backend Engineer (Python, TypeScript/Node.js, Go, React) - Full Time

JS Consulting

Houston, TX • On-site

Full-time

Posted 22 days ago


Job description

Hello,

My name is Bhushan. I just received details on a great job that I believe you would be a great fit for. Please take a look below and share your interest. If not interested, I would also appreciate if you can recommend me someone looking for a similar role.

Job Title:                            Staff Backend Engineer (Python, TypeScript/Node.js, Go, React)

Location:                            100% REMOTE, Houston, TX

Duration:                           Permanent (Full Time)

Interview process:           Video

VISA:                                   US Citizen (Native Citizens only)
LinkedIn:                            Required (Must be created before 2020 or older)

Job Description-:

Client is looking for the best of the best in a backend engineer and they are willing to pay in line with large companies for the right person. Small company that is scaling but in excellent financial shape. Candidates must have experience working with complex, data-heavy backends.

Critical Job Criteria

The position is backend focused but some UI experience is definitely a plus

However, the emphasis should still be on pure backend as many “full-stack” candidates won’t have level of backend experience they are looking for

Looking for someone who is a strong programmer and wants to code. While leadership is a good characteristic they are not in a stage where they need a lot of management or leads. The role will mostly be designing and implementing features with high autonomy and ambiguity.

Candidate should have a solid track record of delivering big features

Candidate needs to be a good communicator.

Candidates must have something notable about their resume/background and stand out in some fashion in order to move forward. This is not simply working with backend systems (which most programmers do) but actually developing and implementing complex systems.

Experience at top tech companies with a decent longevity (> 2 years)

Education from top university in computer science or related field

Why this role matters

Join a fast-growing, product-focused company as a senior contributor helping to build the infrastructure behind large-scale, high-performance data systems. You’ll work on complex backend platforms that process billions of rows of data, surface meaningful insights, and power decision-making for customers.

This is a high-impact, high-ownership role where you'll contribute to architecture, implementation, and strategy on a modern backend stack with lots of room to innovate.

What you'll do

  • Design and deliver scalable backend services that process and model large datasets efficiently and reliably
  • Build extensible internal platforms and tooling (e.g. APIs, data services, internal developer tools)
  • Own full systems end-to-end, from concept to architecture to deployment
  • Lead key technical initiatives, improving performance, accuracy, and cost-efficiency
  • Occasionally contribute to frontend layers to ship full product features
  • Work cross-functionally with product, sales, and customer teams to understand needs and deliver technical solutions
  • Apply statistical thinking and experimentation to platform decisions (experience with ML or modeling is a plus)

Sample projects

  • Optimization engines that act on real-time and historical performance signals
  • Data pipelines and deployment infrastructure for statistical and ML models
  • Scalable systems for querying and enriching data graphs across billions of rows
  • Integration of multiple data sources into unified, production-grade models
  • AI-driven internal tooling that simplifies workflows and delivers actionable insights

Tech stack and environment

  • Languages: Python, TypeScript/Node.js, Go, React (language choice is flexible based on experience)
  • Cloud: AWS (extensive usage; prior experience helpful but not required)
  • Databases: ClickHouse, PostgreSQL, Redis, DynamoDB
  • Architecture: Data pipelines, event-driven systems, internal platforms and developer tooling

What we’re looking for

  • 5+ years of professional experience writing production backend code
  • Hands-on experience with pipelines, ETL/ELT, event-based systems, and schema design
  • Proven ability to build internal tools and services that are extended by other teams
  • Experience with system design for scale, performance, reliability, and cost optimization
  • Clear and thoughtful communication skills in both async and real-time settings
  • Self-directed and comfortable with ambiguity; thrives on autonomy and ownership

Bonus: exposure to statistical modeling, ML pipelines, or AWS services

Why this team

  • Your work will directly shape how customers interpret and act on high-volume data
  • You’ll be part of a lean team with strong ownership and a bias for action
  • You’ll contribute to modern, outcome-driven engineering with measurable impact
  • You’ll have the space to prototype, test, and scale ideas into full systems