Data Infrastructure & ML Engineer (Hybrid Role)
Beverlyonsitemid$122K – $183K
Posted 2w ago · via Workday
About this role
JOB DESCRIPTION Job Description: Data Infrastructure & ML Engineer (Hybrid Role) Role Summary We are seeking a Senior Data Infrastructure & Machine Learning Engineer to design and implement scalable data systems and pipelines that support advanced analytics and machine learning workflows. This is a hybrid role where the primary focus is on data pipeline engineering and Python-based data processing, supported by strong database design and management expertise. Role Focus (Approximate Split) Data Pipeline Engineering & Data Flow (Critical): ~50% Python & Machine Learning Data Processing: ~30% Database Design & Management: ~20% Key Responsibilities 1.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, aws, azure, gcp, kafka…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Beverly. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonawsazuregcpkafkapandasnumpysplitjson