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Python Certification Jobs in Weatherford, TX (NOW HIRING)

Perficientcorp Inc

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Python, Spark, Unix, SQL Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS ... Azure Development Track Certification (preferred) Spark Certification (preferred)

Trwd

Summer 2027 Energy Intern (T047)

Fort Worth, TX · On-site

$18.54 - $27.82/hr

Data analysis and modeling using tools such as Power-BI, SQL, and Python * Exposure to transactions ... Intern experience in energy management or data analysis Required Education/Certification/License:

New

INSPYR Solutions

Data Engineer - CTH

Fort Worth, TX · On-site

$38 - $45/hr

... SQL, Python/Spark, and modern data pipelines. What You'll Do * Design, develop, and support ... Azure and/or Spark certification preferred. About INSPYR Solutions Technology is our focus and ...

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Showing results 21-40

All JobsPython Certification JobsPython Certification Jobs in Weatherford, TX

Python Certification information

See Weatherford, TX salary details

$11

$50

$74

How much do python certification jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for python certification in Weatherford, TX is $50.28, according to ZipRecruiter salary data. Most workers in this role earn between $41.44 and $57.12 per hour, depending on experience, location, and employer.

What is a Python certification and why is it important?

A Python certification is an official credential that demonstrates a person's proficiency and knowledge in the Python programming language. Earning a certification can help validate your skills to employers, making you stand out in the job market. It often covers topics such as syntax, data structures, algorithms, and usage of Python libraries. Obtaining a certification can also provide structured learning and boost your confidence in applying Python in real-world projects. While not always required, it can be particularly beneficial for those new to programming or seeking to advance their careers.

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

To thrive as a Python Developer, you need strong proficiency in Python programming, a solid understanding of algorithms, data structures, and often a relevant degree in computer science or a related field. Familiarity with development frameworks (like Django or Flask), version control systems such as Git, and relevant Python certifications are commonly expected. Problem-solving ability, adaptability, and effective communication are valuable soft skills that set top candidates apart. These competencies enable developers to write efficient, maintainable code and collaborate well within development teams on complex projects.

What types of projects or tasks can I expect to work on after earning a Python certification?

After earning a Python certification, you can expect to work on a variety of projects, ranging from web application development to data analysis and automation tasks. Many teams utilize Python for scripting workflows, managing databases, building APIs, or developing machine learning models. The exact nature of your work will often depend on the industry and organization, but collaboration with other developers, data analysts, or IT professionals is common. Certified Python professionals are frequently trusted with higher responsibility, including contributing to code reviews and designing scalable solutions.

What is the difference between Python Certification vs Data Analyst?

AspectPython CertificationData Analyst
Required CredentialsCertification in Python programmingDegree in Data Science, Statistics, or related field
Work EnvironmentSoftware development, automation, scriptingData analysis, reporting, business insights
Industry UsageTech, finance, automationBusiness, marketing, finance
Search & Comparison IntentLearning Python skills, certification benefitsUnderstanding roles, skills, and certifications for data analysis

Python Certification focuses on validating Python programming skills, often used in software development and automation. Data Analysts utilize Python for data manipulation and analysis but typically require a broader skill set including statistical knowledge and domain expertise. While Python Certification enhances technical credentials, Data Analyst roles emphasize a combination of technical and analytical skills. Both are valuable in data-driven industries, but they serve different career paths and skill requirements.

Is a certificate in Python worth it?

A Python certification can enhance a Python developer's resume by validating skills in programming, data analysis, and automation. While not always required, it can improve job prospects and demonstrate commitment to the profession, especially for entry-level or transitioning developers.

What cities near Weatherford, TX are hiring for Python Certification jobs?

Cities near Weatherford, TX with the most Python Certification job openings:

Python Certification jobs near you

Gen. AI Engineer

Kaleidoscope Innovation, Inc.

Fort Worth, TX • On-site

$100 - $160/hr

Other

Posted 17 days ago

Key responsibilities

  • Design, develop, and deploy enterprise-scale Generative AI applications leveraging LLMs, RAG, and multi-agent architectures.

  • Build scalable document ingestion, embedding, retrieval, and vector search pipelines, and develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, or AutoGen.

  • Create secure backend services and APIs, and build AI-powered web applications using modern front-end technologies, deploying solutions across cloud platforms with containerization and infrastructure automation.

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Fort Worth, TX, US

5 days ago Requisition ID: 1274

Salary Range: $100,000.00 To $160,000.00 Annually

Overview

We are seeking a Senior GenAI / Agentic AI Engineer to design, build, and deploy enterprise-scale AI applications that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and cloud-native technologies. This is a hands-on engineering role focused on building production-ready AI platforms from architecture through deployment.

The ideal candidate has extensive experience developing scalable AI solutions, integrating LLMs into enterprise applications, and delivering secure, reliable systems that operate in production environments.

Responsibilities
  • Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi-agent architectures.
  • Build scalable document ingestion, embedding, retrieval, and vector search pipelines.
  • Develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, or similar technologies.
  • Create secure backend services and APIs using Python, FastAPI, Flask, or comparable frameworks.
  • Build intuitive AI-powered web applications using modern front-end technologies such as React, Angular, or Next.js.
  • Deploy cloud-native AI solutions across AWS, Azure, and GCP using Docker, Kubernetes, and Infrastructure-as-Code.
  • Implement observability, monitoring, LLMOps, and governance to ensure production reliability and responsible AI practices.
  • Collaborate with product, engineering, architecture, and business stakeholders to deliver enterprise AI solutions.
Required Qualifications
  • 8+ years of software engineering, cloud engineering, AI/ML, or platform engineering experience.
  • 3+ years of hands-on experience building production Generative AI or LLM-based applications.
  • Strong expertise with Python and API development using FastAPI, Flask, or similar frameworks.
  • Experience building Retrieval-Augmented Generation (RAG) solutions and working with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.
  • Experience with Agentic AI frameworks including LangChain, LangGraph, CrewAI, LlamaIndex, Semantic Kernel, or AutoGen.
  • Strong understanding of prompt engineering, tool calling, agent orchestration, and workflow automation.
  • Experience developing cloud-native applications on AWS, Azure, or GCP.
  • Hands-on experience with Docker, Kubernetes, Terraform, CI/CD pipelines, and modern DevOps practices.
  • Experience integrating enterprise AI applications with databases, APIs, and business systems.
  • Strong understanding of security, governance, and responsible AI best practices.
Preferred Qualifications
  • Experience implementing Graph RAG and knowledge graph solutions.
  • Experience with MCP (Model Context Protocol) architecture.
  • Experience deploying models using vLLM, Hugging Face, Triton, or TensorRT-LLM.
  • Experience with Databricks, Spark, Kafka, Snowflake, or modern data engineering platforms.
  • Experience building AI applications within regulated industries such as Financial Services, Healthcare, or Insurance.
  • Azure, AWS, Google Cloud, or Databricks AI certifications.
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