Senior ML Data Engineer – AWS SageMaker Pipelines (Hybrid)

Posted yesterday

techdigital groupMiami (FL)

Data Scientists Research and Development in Biotechnology (except Nanobiotechnology)

SENIORITY

Senior

Apply

About the role

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.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.