Senior Data Engineer

ZipRecruiter; Nashville (TN); Remote; USD 80,000 - 120,000; Full time

Job summary

Ein innovatives Unternehmen sucht einen Big Data & ML Infrastructure Engineer, der die Architektur für eine der größten KI-Trainingsplattformen im Gesundheitswesen entwirft. Diese spannende Rolle bietet die Möglichkeit, an der Entwicklung von cloudbasierten ML-Infrastrukturen zu arbeiten, die strukturierte und unstrukturierte Gesundheitsdaten verwalten. In einem dynamischen Team von Experten werden Sie direkt zur Verbesserung der Patientenversorgung und zur Förderung der klinischen Forschung beitragen. Wenn Sie leidenschaftlich an Datenengineering interessiert sind und in einem flexiblen, wachstumsorientierten Umfeld arbeiten möchten, ist dies die perfekte Gelegenheit für Sie.

Benefits

Umfassendes Leistungspaket

Aktienoptionen

Flexible Arbeitsumgebung

Qualifications

• 3+ Jahre Erfahrung in der Python-Entwicklung über den gesamten Software-Lifecycle.
• Umfassende Erfahrung mit OLAPs und SQL.

Responsibilities

• Entwerfen und Optimieren von ETL-Pipelines zur Verarbeitung von Petabytes an Gesundheitsdaten.
• Erstellen skalierbarer Lösungen für Datenverarbeitung und cloudbasierte ML-Modelle.

Skills

Python Entwicklung

OLAPs (AWS Redshift, BigQuery, Snowflake)

SQL

Terraform

Docker

Cloud Infrastruktur (AWS, GCP, Azure)

NLP

OCR

AI Tools

Tools

Terraform

Docker

AWS

GCP

Azure

Job description

Job Description

Our client is looking for a Big Data & ML Infrastructure Engineer to help them build the world’s largest AI training and validation platform for healthcare.

The Opportunity

As a Software Engineer (Big Data & ML Infrastructure), you will be central to this company's mission, designing the architecture that powers its AI ecosystem. This role is perfect for a data engineering expert passionate about creating scalable, efficient, and secure infrastructure capable of managing complex healthcare data. You will collaborate with data scientists, product managers, and healthcare partners to develop data pipelines that accelerate AI development, enhance safety, and increase impact.

Why This Role?

• Cutting-Edge Work: Lead the development of cloud-based ML infrastructure at scale, managing structured and unstructured healthcare data.

• High Impact: Your contributions will directly support AI models that improve patient outcomes and advance clinical research.

• Elite Team: Work alongside industry-leading experts in AI, healthcare, and technology.

• Growth Potential: Join a well-funded, rapidly expanding company committed to learning, innovation, and excellence.

• Flexible Location: Based in New York with remote options for the right candidate.

Key Responsibilities

• Design and optimize ETL pipelines to process petabytes of healthcare data.

• Create scalable solutions for data processing, storage, and cloud-based machine learning models.

• Ensure compliance with healthcare regulations and uphold top-tier data security.

• Collaborate with health system stakeholders for seamless data integration.

• Maintain clear documentation to ensure transparency and auditability.

Ideal Candidate Profile

• 3+ years of Python development across the software lifecycle.

• Extensive experience with OLAPs (AWS Redshift, BigQuery, Snowflake) and SQL.

• Hands-on experience with Terraform, Docker, and cloud infrastructure (AWS, GCP, Azure).

• Strong problem-solving skills and ability to thrive in fast-paced, ambiguous environments.

• Experience with healthcare data, NLP, OCR, or AI tools is a plus.

• A collaborative, solutions-oriented approach.

Compensation & Benefits

• Comprehensive benefits package

• Equity opportunities

• Flexible, mission-driven work environment