Senior ML Data Engineer – AWS SageMaker Pipelines (Hybrid)

TechDigital Group; Miami (FL); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer to join their innovative Microbiology R&D team. This exciting role involves developing and maintaining end-to-end data and machine learning pipelines to support clinical studies. As part of a collaborative and goal-oriented environment, you will work closely with stakeholders to ensure data quality and efficiency. If you have a passion for biotechnology and a strong background in data engineering, this is a fantastic opportunity to contribute to groundbreaking projects in a hybrid work setting.

Qualifications

• 5-7 years of experience in developing and deploying Data and ML pipelines.
• Deep knowledge of AWS services and hands-on experience with CI/CD tools.

Responsibilities

• Collaborate with stakeholders to understand data requirements for ML projects.
• Develop and maintain data pipelines for optimal extraction and transformation.

Skills

Python

SQL

Spark

AWS

Data Visualization

CI/CD

Agile/Scrum

Education

BS in Computer Science

MS in Computer Engineering

Tools

AWS SageMaker

Docker

Kubernetes

GitHub

Job description

An established industry player is seeking a skilled Data Engineer to join their innovative Microbiology R&D team. This exciting role involves developing and maintaining end-to-end data and machine learning pipelines to support clinical studies. As part of a collaborative and goal-oriented environment, you will work closely with stakeholders to ensure data quality and efficiency. If you have a passion for biotechnology and a strong background in data engineering, this is a fantastic opportunity to contribute to groundbreaking projects in a hybrid work setting.