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Python Certification Jobs in Sugar Land, TX (NOW HIRING)

JP Morgan Chase

Lead Software Engineer - Python

Houston, TX · On-site

$133K - $164K/yr

... Python, React, Django, Ansible, Terraform and other related engineering tools * Execute creative ... Formal training or certification on software engineering concepts and 5+ years applied experience ...

Embtel Inc

Python PySpark / Data Engineer

Houston, TX · On-site

Federal Govt. approved vendor and Certified Minority Business Enterprise (MBE) company. We have an ... Title: Python PySpark/ Data Engineer Location: Houston, TX H1B Transfer will work, but local ...

Pwc

GenAI Python Systems Engineer-Director

Houston, TX · On-site

$155K - $410K/yr

... Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

Pwc

GenAI Python Systems Engineer-Manager

Houston, TX · On-site

$99K - $232K/yr

... Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

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Python Certification information

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How much do python certification jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for python certification in Sugar Land, TX is $52.56, according to ZipRecruiter salary data. Most workers in this role earn between $43.32 and $59.71 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 are popular job titles related to Python Certification jobs in Sugar Land, TX?

For Python Certification jobs in Sugar Land, TX, the most frequently searched job titles are:

What job categories do people searching Python Certification jobs in Sugar Land, TX look for?

The top searched job categories for Python Certification jobs in Sugar Land, TX are:

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

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

Python Certification jobs near you

Python Software Lead /Architect

NAVA Software Solutions

Houston, TX • On-site

Full-time

Re-posted 28 days ago

Job description

NAVA Software solutions is looking for a Python Software Lead /Architect
Details:
Python Software Lead /Architect
Location: Houston Texas - Hybrid
Duration: 6-12 months
  • Role is primarily hands-on.
    • 80% hands-on development
    • 20% architecture
  • Responsibilities include:
    • Owning application development end-to-end
    • Backend-heavy development (Python preferred)
    • Working with cloud infrastructure (Azure or AWS)
    • Collaborating with data engineers and business stakeholders
    • CI/CD, deployment, security, and integration
  • Frontend is minimal; backend strength is more important.
  • Long-term potential to grow into a Solution Architect role as more projects are approved.

Key Responsibilities
Architecture & Design
  • Define end-to-end solution architecture for manufacturing analytics applications (OEE, downtime, throughput, daily production, and inventory).
  • Design data models and integration patterns for ingesting data from shop-floor systems (PLC/SCADA/MES/Historians), ERP, and other manufacturing systems.
  • Select and design usage of Azure services for data ingestion, processing, storage, APIs, and front-end delivery.
  • Ensure solutions are scalable, secure, resilient, and aligned with enterprise architecture and IT standards.

Full Stack Development
  • Independently implement backend services, APIs, and microservices using Python (e.g., FastAPI, Flask, Django).
  • Develop modern web front-ends (e.g., React, Angular, or Vue) for dashboards, operator views, production reports, and configuration tools.
  • Implement OEE calculations, KPI logic, and business rules for production and inventory.
  • Build data pipelines to capture, clean, and transform time-series and transactional data from manufacturing systems.

DevOps, CI/CD & Quality
  • Design and maintain CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for build, test, and deployment of applications and infrastructure.
  • Write and maintain unit, integration, and regression tests to ensure code quality and reliability.
  • Implement Infrastructure-as-Code (e.g., ARM/Bicep/Terraform) for repeatable, auditable deployments.
  • Monitor application performance, reliability, and cost, and drive continuous improvement.

Azure Cloud Engineering
  • Evaluate, configure, and utilize Azure components such as:
    • Azure App Service, AKS or Azure Functions
    • Azure SQL Database, Azure PostgreSQL, Cosmos DB
    • Azure Storage, Data Lake
    • Event Hub, IoT Hub, Service Bus
    • Azure Data Factory / Synapse pipelines
    • Azure Monitor / Application Insights / Log Analytics
  • Continuously explore new Azure capabilities and recommend improvements to the existing architecture.

Stakeholder Engagement & Delivery
  • Work directly with plant and business users to gather requirements, understand pain points, and translate them into technical designs.
  • Lead design and code walkthroughs with IT and business stakeholders.
  • Coordinate UAT, rollout, and training for new features and applications.
  • Provide third-line support, troubleshoot complex production issues, and implement sustainable fixes.

Governance, Security & Compliance
  • Ensure solutions follow cybersecurity, networking, and data privacy guidelines.
  • Apply role-based access control (RBAC) and secure secret management (e.g., Azure Key Vault).
  • Document architecture, data flows, APIs, and operational procedures for IT and business teams.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field; or equivalent experience.
  • 10+ years of professional software development experience, including:
    • Significant hands-on Python development (APIs, services, data processing).
    • Full stack experience (front-end + back-end + database).
  • 3+ years designing and delivering solutions on Microsoft Azure.
  • Strong experience with:
    • RESTful API design and implementation.
    • Relational databases (SQL) and data modeling.
    • Source control (Git) and modern branching strategies.
    • CI/CD pipelines and automated testing frameworks (pytest, unittest, etc.).
  • Proven ability to independently deliver end-to-end features: design, code, test, deploy, and support.
  • Experience working directly with business stakeholders (preferably in manufacturing/operations).

Preferred Qualifications
  • Experience in manufacturing, process industries, or industrial automation environments.
  • Familiarity with OEE, TPM, lean manufacturing concepts, and production KPIs.
  • Experience integrating with MES, historians, SCADA, PLCs, or ERP (e.g., SAP) systems.
  • Knowledge of event-driven and microservices architectures.
  • Experience with:
    • Containerization (Docker) and orchestration (AKS/Kubernetes).
    • Message queues and streaming platforms (Event Hubs, Kafka, Service Bus).
    • Time-series databases or BI tools (Power BI, Grafana).
  • Azure certifications (e.g., AZ-204, AZ-305, AZ-400) or equivalent experience.

Key Competencies & Soft Skills
  • Strong problem-solving and analytical skills; able to break complex problems into practical solutions.
  • Ability to operate autonomously and take end-to-end ownership of solutions.
  • Clear, concise communication with both technical and non-technical audiences.
  • Strong collaboration skills; comfortable working with cross-functional teams across plants and corporate functions.
  • Continuous learning mindset; actively explores new Azure and Python capabilities and best practices.
  • Structured documentation and attention to detail.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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