Data Engineer - Enabling Technologies at Enovis

Who We Are

ABOUT ENOVIS™

Enovis Corporation (NYSE: ENOV) is an innovation-driven medical technology growth company dedicated to developing clinically differentiated solutions that generate measurably better patient outcomes and transform workflows. Powered by a culture of continuous improvement, global talent and innovation, the Company’s extensive range of products, services and integrated technologies fuels active lifestyles in orthopedics and beyond. For more information about Enovis, please visit www.enovis.com.

What You'll Do

At Enovis™ we sweat the little things. We embrace collaboration with our partners and patients, and we glory in the grind of scientific excellence — with the goal of transforming medical technology as we know it.

Because that’s how we change the lives of patients for the better. And that’s how we create better together.

As a key member of Enabling Technologies, you will play an integral part in helping Enovis drive the medical technology industry forward through transforming patient care and creating better patient outcomes.

Job Title:

Data Engineer - Enabling Technologies

Reports To:

SVP, Enabling Technologies R&D

Location:

Austin, TX

Business Unit Description:

Enabling Technologies R&D

Job Title/High Level Position Summary:
 

Enabling Technologies is a fast-moving team focused on the development and integration of modern, technology-based solutions for orthopedic surgery at Enovis. It is driven by the goal of enabling surgeons to more effectively achieve desired performance metrics for procedures while also increasing patient satisfaction.

We are seeking a skilled and mission-driven Data Engineer to join our team developing a cutting-edge cloud-based machine learning platform for medical devices. This role is critical to enabling scalable, secure, and compliant data pipelines that power training of machine learning and other models, real-time analytics, predictive modeling, and clinical insights.

This role requires a deep understanding of cloud-native data architectures, healthcare data standards, and regulatory requirements. You’ll collaborate closely with data scientists, ML engineers, software developers, and clinical stakeholders to ensure that data is accessible, trustworthy, and actionable—while maintaining the highest standards of privacy and security.

You will work with a multidisciplinary team to design and implement data pipelines that handle medical imaging, protected health information (PHI), personally identifiable information (PII), clinical notes, and patient outcomes—all within a regulated healthcare environment.

Key Responsibilities: 

• Design and implement scalable, secure data pipelines for ingesting, transforming, and storing multimodal healthcare data including imaging (e.g., DICOM), structured EHR data, unstructured clinical notes, and outcomes. 

• Build and maintain data lake and warehouse architectures using modern cloud technologies. Ensure data privacy, integrity, and compliance with healthcare regulations such as HIPAA, GDPR, and FDA guidelines. 

• Collaborate with ML and software engineering teams to enable model training, deployment, and monitoring workflows. 

• Develop tools for data validation, lineage tracking, and auditability. 

• Support ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes, metadata management, and data cataloging. 

• Contribute to documentation, code reviews, and agile development practices. 
   

Required Qualifications and Experience: 

• Bachelor’s or master’s degree in computer science, engineering, or related field. 

• 3+ years of experience in data engineering, preferably in healthcare or regulated industries. 

• Proficiency in Python, SQL, and data pipeline frameworks (e.g., Data Verson Control, Apache Airflow). 

• Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native data services (Docker and Containerization). 

• Strong understanding of data modeling, schema design, and data governance. 

• Familiarity with ML workflows and tools (e.g., TensorFlow, PyTorch, MLflow, DVC. 

• Experience handling PHI/PII and sensitive healthcare data securely and compliantly. 

• Excellent communication skills, adaptability and ability to work across a multidisciplinary team  
   

Additional Preferences: 

• Experience with medical imaging formats (e.g., DICOM) and healthcare data standards (e.g., FHIR, HL7), EHR/EMR systems. 

• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure-as-code (preference for Pulumi), cloud applications (preference for AWS). 

• Exposure to real-time data streaming (e.g., Kafka, Kinesis). 

• Understanding of security and privacy best practices in medical data handling. 

“Creating better together”. It’s the Enovis purpose, and it’s what drives us and empowers us every day on a global scale. We know that the power to create better – for our customers, our team members, and our shareholders – begins with having the best team, pursuing common goals, operating at the highest levels, and delivering extraordinary outcomes.

Watch this short video and discover what creating better together means to us at Enovis:

 Our Enovis Purpose, Values and Behaviors on Vimeo

ABOUT ENOVIS

Enovis Corporation (NYSE: ENOV) is an innovation-driven medical technology growth company dedicated to developing clinically differentiated solutions that generate measurably better patient outcomes and transform workflows. Powered by a culture of continuous improvement, global talent and innovation, the Company’s extensive range of products, services and integrated technologies fuels active lifestyles in orthopedics and beyond. Visit www.enovis.com to learn more.

EQUAL EMPLOYMENT OPPORTUNITY:

Enovis provides equal employment opportunities based on merit, experience, and other work-related criteria and without regard to race, color, ethnicity, religion, national origin, sex, age, pregnancy, disability, veteran status, or any other status protected by applicable law. We also strive to provide reasonable accommodation to employees’ beliefs and practices that do not conflict with Enovis policies and applicable law. We value the unique contributions that every employee brings to their role with Enovis.

EOE AA M/F/VET/Disability Statement

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, religion, color, national origin, sex, protected veteran status, disability, or any other basis protected by federal, state or local laws.