Senior Clinical Data Engineer - Build Scalable Pipelines

MiniMed; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

MiniMed is seeking a Senior Clinical Data Engineer to join our Bioinformatics team. You will build scalable data pipelines, integrate data from multiple sources, and transform raw data into analysis-ready datasets that support clinical research and real-world studies.

The role partners with Clinical Research, Biostatistics, R&D, and Software Engineering to ensure data quality and usability. Proficiency in SQL, Databricks, AWS, and Redshift is required, with a proven ability to work independently

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Biomedical Engineering, Statistics or a related field.
• Minimum of 4 years of relevant experience in clinical data engineering, clinical data management, data analytics, or a related technical field.
• Strong experience with SQL development and query optimization in Databricks and AWS Redshift.
• Experience developing and maintaining data pipelines using Databricks, PySpark, AWS services, and AWS Redshift.
• Experience working with structured and semi-structured data formats, including JSON and CSV.
• Knowledge of clinical research data processes, clinical trial operations, and data quality principles.
• Strong analytical, problem-solving, and troubleshooting skills.
• Demonstrated ability to collaborate effectively across technical and non-technical teams.
• Strong written and verbal communication skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Responsibilities

• Design and maintain data pipelines for clinical and device data.
• Build ETL/ELT solutions with Databricks, PySpark, SQL, AWS.
• Transform raw data into analysis-ready datasets.
• Collaborate with Biostatistics to prepare datasets.
• Align data schemas with Medical Device and Software teams.
• Identify data quality issues and implement fixes.
• Support data management across multiple data sources.
• Develop data management plans to meet timelines.
• Provide UAT support and training material review.
• Coordinate with Clinical Research, R&D and BI stakeholders.
• Apply software engineering best practices (VCS, CI/CD).
• Manage multiple projects independently in deadline-driven environment.

Skills

SQL development

Databricks & AWS Redshift

PySpark & data pipelines

Structured/semi-structured data (JSON/

Clinical data processes

Analytical/problem-solving

Cross-functional collaboration

Written/Verbal communication

Independent project work

Education

Bachelor's degree in CS or related field

MS/PhD in CS/Engineering/Data Science

Tools

Databricks

PySpark

AWS

Git

Job description

MiniMed is seeking a Senior Clinical Data Engineer to join our Bioinformatics team. You will build scalable data pipelines, integrate data from multiple sources, and transform raw data into analysis-ready datasets that support clinical research and real-world studies.

The role partners with Clinical Research, Biostatistics, R&D, and Software Engineering to ensure data quality and usability. Proficiency in SQL, Databricks, AWS, and Redshift is required, with a proven ability to work independently