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Remote Python Engineer Jobs in Houston, TX (NOW HIRING)

Houston (Preferred), Remote (US) is also fine * Seeking a Platform Engineer with strong Python skills to support Cloud and Data Platform project. Primary Responsibilities: * Design, build, and deploy ...

Ideal candidates should have 5-10 years of hands-on experience in AI, strong Python coding skills ... This position offers remote flexibility and a chance to work with leading technologies in a ...

PLTR Developer Location: Remote Duration: 12 Months Contract We have below longterm job opening. If ... Python and Spark-based technologies Experience with data modeling transformation and workflow ...

PLTR Developer Location: Remote Duration: 12 Months Contract We have below longterm job opening. If ... Python and Spark-based technologies Experience with data modeling transformation and workflow ...

Manage an in-house developed website that is used to monitor and manage IOT remote monitoring and ... Knowledge of MySQL or equivalent SQL databases, Python, JavaScript or equivalent programming ...

AWT Applications Engineer

Sealy, TX ยท Remote

$110K - $120K/yr

Manage an in-house developed website that is used to monitor and manage IOT remote monitoring and ... Knowledge of MySQL or equivalent SQL databases, Python, JavaScript or equivalent programming ...

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Remote Python Engineer information

See Houston, TX salary details

$22K

$133.7K

$193.4K

How much do remote python engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for remote python engineer in Houston, TX is $133,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $157,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Python Engineer, you need a strong command of Python programming, experience with software development best practices, and familiarity with frameworks like Django or Flask, often supported by a relevant degree or equivalent experience. Proficiency in version control systems such as Git, cloud platforms like AWS or Azure, and continuous integration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial for effective collaboration in a remote environment. These skills ensure high-quality code delivery, efficient teamwork across distributed teams, and successful project outcomes.

What are some common challenges faced by Remote Python Engineers, and how can they be overcome?

Remote Python Engineers often encounter challenges such as effective communication across time zones, maintaining productivity outside a traditional office, and ensuring code quality in distributed teams. To overcome these, it's helpful to use collaborative tools like Slack and GitHub, participate in regular virtual meetings, and follow clear coding standards. Actively documenting your work and reaching out proactively to teammates can also foster a sense of connection and streamline project workflows.

What does a Remote Python Engineer do?

A Remote Python Engineer designs, develops, and maintains software applications using the Python programming language, all while working from a remote location. Their responsibilities typically include writing efficient code, troubleshooting issues, collaborating with team members through online tools, and integrating third-party APIs or libraries. They may work on web development, automation scripts, data analysis, or backend services depending on the company's needs. Remote Python Engineers must have strong communication skills and be comfortable using project management and version control tools like Git. This role is ideal for those who want the flexibility of working from home while contributing to software projects.

What is the difference between Remote Python Engineer vs Remote Data Scientist?

AspectRemote Python EngineerRemote Data Scientist
Required SkillsPython, APIs, software developmentPython, statistics, machine learning
Work EnvironmentSoftware development teams, coding, debuggingData analysis, modeling, research
Industry UsageTech, startups, software companiesFinance, healthcare, tech

While both roles require Python skills, Remote Python Engineers focus on building and maintaining software applications, whereas Remote Data Scientists analyze data and develop models. The roles often overlap in Python proficiency but differ in their core responsibilities and industry applications.

What job categories do people searching Remote Python Engineer jobs in Houston, TX look for? The top searched job categories for Remote Python Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Python Engineer jobs? Cities near Houston, TX with the most Remote Python Engineer job openings:

Platform Engineer

Inizio Partners

Houston, TX โ€ข Remote

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About the job Platform Engineer
Role: Platform Engineer
Type: Contract
Duration: 6 - 12 Months
Location: Houston (Preferred), Remote (US) is also fine
Job Description:

  • Seeking a Platform Engineer with strong Python skills to support Cloud and Data Platform project. Primary Responsibilities:
  • Design, build, and deploy scalable software solutions across GCP and AWS, leveraging managed cloud services and best practices.
  • Implement cloud-native (primarily GCP) software using serverless architectures and containerization technologies like Docker and Kubernetes.
  • Document and support data and/or AI related software applications and components.
  • Troubleshoot data and AI software and environment issues.
  • Monitor and optimize data and inference pipelines to ensure optimal performance and resource utilization.
  • Work closely and collaborate with other internal software development and support teams.
Required Skills:
  • 6+ years of full software development lifecycle (requirements, design, code, test, deploy, document, support) experience.
  • Expertise in data warehousing and data lake concepts
  • Deep understanding of and experience with object-oriented design and implementation techniques, and design patterns.
  • API design and implementation experience.
  • Deep cloud-centric (one or both Azure and GCP) software design, development, deployment, monitoring, and support experience.
  • Good grasp of software scaling concepts and how to apply those concepts in a cloud-based environment.
  • Strong Python programming experience.
  • Knowledge of version control software and usage, ADO/git preferred.
  • Self-starter who can work both independently (with minimal supervision) as well as within a collaborative team setting.
  • Excellent communication and collaboration skills.
Bonus Skills:
  • Databricks/Spark experience.
  • Good understanding and use of RDBMS-related technologies and techniques.
  • Terraform scripting.
  • Azure Dev Ops build and deployment pipeline YAML scripting.
Required Education/Experience:
  • Bachelors degree in information systems, computer science, or related technical field.