Senior Data Engineer

As a Senior Data Engineer at Clario, you will play a critical role in designing and building the modern data infrastructure that powers advanced analytics, machine learning, and AI‑driven innovation across our clinical technology platform. You will architect cloud‑native, scalable, and secure data systems that support regulated clinical environments, ensuring data flows are reliable, compliant, and optimized for next‑generation clinical insights. Partnering closely with data scientists, AI engineers, software engineers, and product teams, you will help evolve a data ecosystem capable of supporting large‑scale clinical datasets, imaging studies, and AI‑enabled applications.

What You’ll Be Doing

• Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured clinical data

• Develop and optimize data models supporting analytics, reporting, and machine learning workflows

• Build and maintain cloud‑native data architectures within AWS environments

• Develop pipelines that support AI and machine learning model development and deployment

• Operationalize and productionize machine learning models developed by Data Science teams

• Ensure data quality, integrity, governance, and regulatory compliance

• Improve performance, reliability, and scalability of large‑scale data platforms

• Collaborate closely with data scientists, AI engineers, software engineers, and product teams

• Translate clinical and business requirements into scalable data engineering solutions

• Implement monitoring, observability, and automated validation across data pipelines

• Contribute to data engineering standards, architecture design, and platform evolution

What We Look For

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related quantitative field

• 5+ years of experience in data engineering or data platform development

• Strong proficiency in Python and SQL

• Experience designing and maintaining scalable data pipelines in cloud environments

• Hands-on experience with AWS services such as S3, Redshift, Glue, Lambda, EMR, or similar

• Strong understanding of data modeling, schema design, and performance optimization

• Experience supporting machine learning or AI workflows in production environments

• Experience working with distributed or large-scale data architectures

• Strong analytical, problem-solving, and communication skills

• Experience in regulated industries (healthcare, life sciences, clinical research) is a plus

Preferred Experience

• Experience with AI/ML data pipelines or generative AI workflows

• Experience handling large-scale or high-volume datasets

• Experience working with medical imaging data or complex healthcare data structures

At Clario, our purpose is to transform lives by unlocking better evidence. It’s a cause that unites and inspires us. It’s why we come to work—and how we empower our people to make a positive impact every day. Whether you're advancing clinical science, building innovative technology, or supporting our global teams, your work helps bring life-changing therapies to patients faster.
Clario is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

EEO Statement

Clario is an equal opportunity employer. Clario evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status, or any other legally protected characteristic.