Job Title: Sr. Python Data Engineer - C2C - Direct Client - Onsite

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

Python
AWS
CI/CD pipelines
CloudFormation
Terraform
CDK
age Maker
Lake Formation
Glue
Athena

Job Details

Job Title: Sr. Python Data Engineer

Duration: 6+ Months

Location: Houston, TX (Onsite)

Must Have

  • AWS with deployment automation such as Terraform and Cloud Formation
  • Expert level Python programming

Nice To Have

JOB DESCRIPTION

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.

Top daily responsibilities:
Development of reusable Python libraries for Data and AI projects
Development of AWS Infrastructure as Code (IaC) templates
Development of Data and AI project templates
Other responsibilities include:
Work directly with Data Scientists to develop high quality, reliable, scalable, machine learning systems
Design and implement frameworks and tools to streamline the machine learning process
Automate manual ML pipelines including model training, registration, promotion, and inferencing
Leverage software architecture and design patterns to develop fault tolerant software components
Convert research-based machine learning models into production-ready software
Implement processes to ensure coding standards, code quality, documentation, and test coverage
Design and implement cloud-native architectures following AWS best practices for security, scalability, and cost optimization
Implement Infrastructure as Code (IaC) using tools like CloudFormation, Terraform, or CDK
Establish CI/CD pipelines for platform deployments and automated testing

The successful candidate will meet the following qualifications:

  • 13+ years of programming experience in Python building large, distributed, mission critical systems
    Expertise in developing and maintaining data pipelines
    Experience in testing, packaging, and deploying machine learning models
    Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control
    Expertise in Object-Oriented Design Principals and Functional Programming Principals
    Experience in implementing distributed computing systems
    Experience in designing modular, reusable software components
    Experience in developing API endpoints and microservices
    Knowledgeable of MLOps Principles
    Knowledgeable of Knowledgeable of AWS data and AI services including Sage Maker, Lake Formation, Glue, and Athena
    Interview process: first round as short Teams video and second as onsite with small panel
    Notes: new project, must work onsite, possibility to extend

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