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Python Data Engineer III - Houston, TX (Onsite) – Locals only Job Opening In Houston – Now Hiring Calabitek


Job description

<p><b>Role: Python Data Engineer III In-Person Interview for Final Round </b></p> <p><b>Location: Houston, TX (Onsite) Locals only </b></p> <p><b>Duration: Contract</b></p> <p><b>Client: Enterprise Products</b></p> <p><b>Any Visa</b></p> <p><b>Local people only</b></p> <p> </p> <p><b>JOB DESCRIPTION</b></p> <p>We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department.

The Senior Python Data Engineer will contribute to the development of a scalable, high-performance data and AI platform using Amazon Web Services (AWS).

The ideal candidate will combine strong software engineering principles with deep expertise in cloud platform engineering to build robust data and AI platform that drive business insights and decision-making.</p> <p> </p> <p><b>Top daily responsibilities:</b></p> <ul> <li>Development of reusable Python libraries for Data and AI projects</li> <li>Development of AWS Infrastructure as Code (IaC) templates</li> <li>Development of Data and AI project templates </li> </ul> <p> </p> <p><b>Must Have</b></p> <ul> <li>AWS with deployment automation such as Terraform and Cloud Formation</li> <li>Expert level Python programming</li> </ul> <p><b>Nice To Have</b></p> <ul> <li>AWS Sage Maker</li> <li>Deploying Machine Learning projects to production</li> <li>Microservices Design</li> </ul> <p> </p> <p><b>Other responsibilities include:</b></p> <ul> <li>Work directly with Data Scientists to develop high quality, reliable, scalable, machine learning systems</li> <li>Design and implement frameworks and tools to streamline the machine learning process</li> <li>Automate manual ML pipelines including model training, registration, promotion, and inferencing</li> <li>Leverage software architecture and design patterns to develop fault tolerant software components</li> <li>Convert research-based machine learning models into production-ready software</li> <li>Implement processes to ensure coding standards, code quality, documentation, and test coverage</li> <li>Design and implement cloud-native architectures following AWS best practices for security, scalability, and cost optimization</li> <li>Implement Infrastructure as Code (IaC) using tools like CloudFormation, Terraform, or CDK</li> <li>Establish CI/CD pipelines for platform deployments and automated testing</li> </ul> <p> </p> <p><b>The successful candidate will meet the following qualifications:</b></p> <ul> <li>5+ years of programming experience in Python building large, distributed, mission critical systems</li> <li>Expertise in developing and maintaining data pipelines</li> <li>Experience in testing, packaging, and deploying machine learning models</li> <li>Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control</li> <li>Expertise in Object-Oriented Design Principals and Functional Programming Principals</li> <li>Experience in implementing distributed computing systems</li> <li>Experience in designing modular, reusable software components</li> <li>Experience in developing API endpoints and microservices</li> <li>Knowledgeable of MLOps Principles</li> <li>Knowledgeable of Knowledgeable of AWS data and AI services including Sage Maker, Lake Formation, Glue, and Athena</li> </ul> <p> </p> <p><b>Interview process:</b> first round as short Teams video and second as onsite with small panel</p> <p><b>Notes:</b> new project, must work onsite, possibility to extend</p> <p> </p>

Required Skill Profession

Computer Occupations


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Unlock Your Python Data Potential: Insight & Career Growth Guide


Real-time Python Data Jobs Trends (Graphical Representation)

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Calabitek interview tips for Python Data Engineer III   Houston, TX (Onsite) – Locals only

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Research: Learn about the Calabitek's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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