Senior Data Engineer: Genomics Cloud Pipelines

Nationwide Children's Hospital; Columbus (OH); On-site; USD 120,000 - 160,000; Full time

Job summary

Nationwide Children's Hospital is seeking a Senior Data Engineer to design and maintain production ETL/ELT pipelines and a data lake, turning genomics, clinical, and imaging data into reliable datasets for scientific discovery. Deep hands-on AWS—Glue, Lambda, Step Functions, S3, Lake Formation—and advanced Python, data modeling/SQL, and IaC are essential.

You will lead technical projects, mentor engineers, and operate in a HIPAA/NIST 800-171–compliant environment.

Qualifications

• Bachelor’s Degree in Computer Science or relevant field, or equivalent experience, required.
• Master's Degree or PhD, preferred.

Responsibilities

• Lead development and maintenance of complex health informatics applications designed for high availability, as well as data processing and transformation pipelines.
• Gathers requirements, presents plans, and reports on progress and results to key stakeholders.
• Oversees the documentation of systems and processes for future reference and training purposes.
• Audits current computational systems and processes and identifies opportunities for improvement.
• Designs and implements architecture enhancements to improve performance and reliability of data generation, analysis, and interpretation.
• Designs usability testing and validation processes and develops procedures for technical support and troubleshooting of system issues.
• Mentors and supports less experienced programmers through design review, pair programming, and formal coaching.
• Champions secure coding practices, data privacy, and regulatory compliance.

Skills

Backend API design

Database design

Data orchestration

Python programming

AWS cloud

Education

Bachelor’s Degree in Computer Science or related field

Master's Degree or PhD

Tools

AWS Glue

AWS Lambda

AWS Step Functions

Amazon S3

Lake Formation

Athena

Job description

Nationwide Children's Hospital is seeking a Senior Data Engineer to design and maintain production ETL/ELT pipelines and a data lake, turning genomics, clinical, and imaging data into reliable datasets for scientific discovery. Deep hands-on AWS—Glue, Lambda, Step Functions, S3, Lake Formation—and advanced Python, data modeling/SQL, and IaC are essential.

You will lead technical projects, mentor engineers, and operate in a HIPAA/NIST 800-171–compliant environment.