Overview:
We're hiring a Senior Data Engineer for our cloud data team in pediatric research. You'll design and maintain production ETL/ELT pipelines and our data lake that turn genomics, clinical, and imaging data into reliable datasets for scientific discovery. Deep hands-on AWS is essential—Glue, Lambda, Step Functions, S3, Lake Formation, Athena—plus advanced Python, strong data modeling/SQL, and IaC (CloudFormation or SAM). You'll build data quality frameworks, lead technical projects, and mentor engineers. Work happens in a HIPAA/NIST 800-171-compliant environment, so experience in regulated settings is a plus. We want 5–7 years in data engineering. Healthcare or research background strongly preferred.
Job Description Summary:
Job Description:
Essential Functions:
- Leads the 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.
- Identifies and recommends emerging technologies to assess their potential to enhance operational/application capabilities.
- Designs and implements system and 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. Collaborates effectively with research and clinical leadership, faculty, and staff.
- Champions secure coding practices, data privacy, and regulatory compliance.
Education Requirement:
- Bachelor’s Degree in Computer Science or relevant field, or equivalent experience, required.
- Master's Degree or PhD, preferred.
Skills:
- Demonstrated expertise in backend application development and RESTful API design, with deep experience in modern API frameworks and strong proficiency in asynchronous processing and data orchestration patterns.
- Expert knowledge of front-end and/or back-end programming languages, as well as technical troubleshooting approaches.
- Deep knowledge of database design, development, and maintenance.
- Demonstrated ability to model and ensure software development best practices, including version control, code review, testing, and documentation.
- Ability to complete tasks with high levels of precision and to identify, collect, and analyze data.
- Ability to lead effective mentoring relationships utilizing appropriate coaching and development methods.