Senior AWS Python Data Engineer

Robotics Prcocess Automation, LLC; Houston (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Robotics Process Automation, LLC in Houston, Texas is looking for a skilled professional to develop and maintain scalable ML and data systems. Responsibilities include automating model training and deploying production-ready services.

Candidate must have 5+ years experience in backend development using Python, and a strong understanding of cloud technologies, particularly AWS. The role emphasizes collaboration with Data Scientists and implementing software engineering best practices.

Qualifications

• 5+ years of professional experience developing backend systems using Python.
• Strong background in building and optimizing large-scale data pipelines.
• Experience deploying machine learning models in production.

Responsibilities

• Collaborate with Data Scientists and Platform Engineers to build scalable ML systems.
• Develop and maintain high-performance data pipelines.
• Automate model training and deployment processes.

Skills

Backend development using Python

Building large-scale data pipelines

Deploying machine learning models

Software engineering principles

RESTful APIs and microservices development

Cloud engineering on AWS

Tools

CloudFormation

Terraform

AWS CDK

Neo4j

Amazon Neptune

Job description

• 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

ROBOTIC PROCESS AUTOMATION 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. ROBOTIC PROCESS AUTOMATION 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 ROBOTIC PROCESS AUTOMATION 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