Senior AWS Python Data Engineer

Ethereum Technologies LLC; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Ethereum Technologies LLC in Houston, Texas is looking for an experienced software engineer to collaborate with data scientists and build scalable machine learning and data systems. You will develop and maintain high-performance data pipelines, convert models into production-ready services, and implement Infrastructure as Code using AWS services.

The ideal candidate should have over 5 years of experience in Python, strong background in cloud engineering with AWS, and familiarity with data-driven applications. Join us to work on cutting-edge technology solutions in a supportive and inclusive environment.

Qualifications

• 5+ years of backend development experience with Python.
• Experience in deploying machine learning models in production environments.
• Understanding of software engineering principles and cloud infrastructure.

Responsibilities

• Collaborate with teams to build scalable ML and data systems.
• Develop high-performance data pipelines and machine learning infrastructure.
• Convert machine learning models into production-ready services.

Skills

Python

Cloud Engineering on AWS

Data Pipeline Optimization

Machine Learning Deployment

RESTful APIs

Infrastructure as Code

Graph Technologies

Tools

AWS SageMaker

Terraform

CloudFormation

Job description

Responsibilities

• Collaborate with Data Scientists and Platform Engineers to build scalable ML and data systems
• Develop and maintain high-performance, distributed data pipelines and machine learning infrastructure
• Convert machine learning models into production-ready services and APIs
• Automate model training, validation, deployment, and inferencing pipelines
• Design fault-tolerant, secure, and cost-effective cloud-native architectures using AWS services
• Implement Infrastructure as Code (IaC) using CloudFormation, Terraform, or AWS CDK
• Build CI/CD pipelines for deployment and testing automation
• Establish software engineering best practices including modularity, reusability, test coverage, and documentation

Requirements

• 5+ years of professional experience developing backend systems using Python
• Strong background in building and optimizing large-scale data pipelines and distributed systems
• Experience deploying machine learning models and managing ML workflows in production
• Solid understanding of software engineering principles including design patterns, version control, unit testing, and CI/CD
• Familiarity with object-oriented and functional programming practices
• Experience developing RESTful APIs and microservices
• Proven experience with cloud engineering on AWS, especially services like SageMaker, Glue, Lake Formation, and Athena
• Infrastructure as Code experience using CloudFormation, Terraform, or AWS CDK
• Experience with graph technologies and knowledge graphs (e.g., Neo4j, Amazon Neptune) is a plus

Preferred Qualifications

• Prior experience working with machine learning operations (MLOps) or AI platform teams
• Knowledge of knowledge graph construction and semantic modeling
• Background in big data environments and real-time data processing frameworks

ETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ETHEREUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract