As a Senior Data Engineer at Clario, you will play a critical role not only in designing and building modern data infrastructure, but also in enabling data understanding and advanced analytics. This role goes beyond data movement—you will actively partner with data scientists, AI engineers, and stakeholders to explore, analyze, and experiment with data, helping drive insights and 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 advanced analytics and AI-driven applications. Working cross-functionally, you will help evolve a data ecosystem capable of supporting large-scale clinical datasets, imaging studies, and next-generation AI use cases.
What You’ll Be Doing
Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured clinical data
Develop and optimize data models that support analytics, reporting, and machine learning workflows
Build and maintain cloud-native data architectures within AWS environments
Partner closely with data scientists, AI engineers, and business stakeholders to explore, understand, and validate data for analytical and AI use cases
Perform data exploration and profiling to identify patterns, anomalies, and data quality issues
Support experimentation by preparing, validating, and iterating on datasets used in analytics and machine learning
Contribute to hypothesis-driven analysis and data experimentation initiatives
Develop pipelines that enable not only data movement, but also analysis, experimentation, and insight generation
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
Translate business and analytical questions 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 a 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 working with distributed or large-scale data architectures
Strong ability to explore, analyze, and derive insights from data—not only build and move data pipelines
Experience partnering with data scientists and business stakeholders to understand data needs and support analytical use cases
Solid experience with data exploration, data profiling, and exploratory data analysis (EDA)
Ability to translate ambiguous business problems into data-driven solutions
Strong analytical, problem-solving, and communication skills
Experience supporting machine learning or AI workflows in production environments
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.
