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Python Certification Jobs in Texas (NOW HIRING)

Deloitte

Python Developer

Dallas, TX · Hybrid

$49.75 - $68.50/hr

Public cloud provider certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps ... Python Developer Are you an experienced, passionate pioneer in technology who wants to work in a ...

Deloitte

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Python Developer Are you an experienced, passionate pioneer in technology who wants to work in a ... Public cloud provider certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps ...

TurboTax CPA Select

Django Python Developer

Plano, TX · On-site +1

Python/Django web developer needed for a startup team that is revolutionizing the consumer finance ... CPA Select. The service provides high quality tax help at a fraction of the price of a tax store by ...

TurboTax CPA Select

Django Python Developer

Plano, TX · On-site +1

Python/Django web developer needed for a startup team that is revolutionizing the consumer finance ... CPA Select. The service provides high quality tax help at a fraction of the price of a tax store by ...

Raas Infotek LLC

Senior Python Developer

Texas City, TX · On-site +1

$104K - $139.90K/yr

Senior Python Developer | W2 Opportunity We are actively hiring an experienced Senior Python ... Certifications preferred 📌 Responsibilities: • Design, develop and maintain scalable ...

New

Mindlance

Cyber Security/Python Developer

Southlake, TX

$47.25 - $65.25/hr

Job Title: Cyber Security/Python Developer Job Location: Southlake, TX Duration: 6+ Months ... Security certifications such as CISSP or SANS is preferred. * Bachelor of Science in Computer ...

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How much do python certification jobs pay per hour?

As of May 31, 2026, the average hourly pay for python certification in Texas is $54.61, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $62.02 per hour, depending on experience, location, and employer.

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 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 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.

What are popular job titles related to Python Certification jobs in Texas? For Python Certification jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Python Certification jobs in Texas look for? The top searched job categories for Python Certification jobs in Texas are:
What cities in Texas are hiring for Python Certification jobs? Cities in Texas with the most Python Certification job openings:
Python Certification jobs near you
Python Developer

Python Developer

Deloitte

Dallas, TX • Hybrid

$49.75 - $68.50/hr

Other

Posted 5 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Python Developer

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Python Developer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities  

  • Build and orchestrate LLM workflows in Python using LangChain/LangGraph, including tool/function calling, structured outputs, error handling, and performance/cost tuning.
  • Design and operate RAG pipelines: data ingestion/chunking, embeddings + vector search, retrieval/reranking, grounding/citation, and evaluation to reduce hallucinations.
  • Implement multi-agent and memory systems: agent roles/handoffs, state management, short/long-term memory persistence, conversational checkpoints, and guardrails/observability in production.
  • Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for cloud architectures, configurations, and operational procedures. Mentor junior engineers and contribute to knowledge sharing within the team. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Required Qualifications

  • 3+yrs Python (strong proficiency)
  • 3+yrs LangChain & LangGraph
  • 3+yrs RAG (Retrieval-Augmented Generation)
  • Multi-agent systems
  • Memory systems (long-term/short-term, persistence, conversational checkpoints). A strong commitment to Site Reliability Engineering (SRE) principles and practices, including operational ownership
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred Qualifications

  • Public cloud provider certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional DevOps Engineer).
  • Experience with serverless computing (e.g., AWS Lambda, Google Cloud Functions).
  • Familiarity with configuration management tools like Ansible.
  • Experience with database services (relational and NoSQL) in the cloud.
  • Knowledge of disaster recovery and business continuity strategies in a multi-cloud environment.
  • Experience with GitOps principles and tools.
  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations

Qualifications:

Python Developer

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Python Developer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities  

  • Build and orchestrate LLM workflows in Python using LangChain/LangGraph, including tool/function calling, structured outputs, error handling, and performance/cost tuning.
  • Design and operate RAG pipelines: data ingestion/chunking, embeddings + vector search, retrieval/reranking, grounding/citation, and evaluation to reduce hallucinations.
  • Implement multi-agent and memory systems: agent roles/handoffs, state management, short/long-term memory persistence, conversational checkpoints, and guardrails/observability in production.
  • Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for cloud architectures, configurations, and operational procedures. Mentor junior engineers and contribute to knowledge sharing within the team. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Required Qualifications

  • 3+yrs Python (strong proficiency)
  • 3+yrs LangChain & LangGraph
  • 3+yrs RAG (Retrieval-Augmented Generation)
  • Multi-agent systems
  • Memory systems (long-term/short-term, persistence, conversational checkpoints). A strong commitment to Site Reliability Engineering (SRE) principles and practices, including operational ownership
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred Qualifications

  • Public cloud provider certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional DevOps Engineer).
  • Experience with serverless computing (e.g., AWS Lambda, Google Cloud Functions).
  • Familiarity with configuration management tools like Ansible.
  • Experience with database services (relational and NoSQL) in the cloud.
  • Knowledge of disaster recovery and business continuity strategies in a multi-cloud environment.
  • Experience with GitOps principles and tools.
  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations

Education:Bachelor's DegreeEmployment Type:

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