Senior Python Data Engineer (Locals Only)

Overview

On Site
BASED ON EXPERIENCE
Contract - Independent
Contract - W2

Skills

Video
Big Data
Advanced Analytics
Decision-making
Training
Promotions
Software Architecture
Design Patterns
Research
Documentation
Cloud Computing
Scalability
Optimization
Terraform
Automated Testing
Python
Testing
Machine Learning (ML)
Software Engineering
Unit Testing
Code Refactoring
Continuous Integration
Continuous Delivery
Version Control
OOD
Functional Programming
Distributed Computing
API
Microservices
Machine Learning Operations (ML Ops)
Amazon Web Services
Artificial Intelligence
Sage

Job Details

Job Title: Senior Python Data Engineer (Locals Only)
Duration: 6+ Months
Location: Houston, TX (Onsite)

Interview process: first round as short Teams video and second as onsite with small panel

Must Have
* AWS with deployment automation such as Terraform and Cloud Formation
* Expert level Python programming
Nice To Have
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THIS IS A JOB DESCRIPTION FOR A TEMPORARY POSITION:

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:
* 12+ 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.