Note: The job is a remote job and is open to candidates in USA. The Henry M. Jackson Foundation for the Advancement of Military Medicine is a nonprofit organization dedicated to advancing military medicine. They are seeking a Data Engineer to architect and maintain the enterprise data infrastructure, migrate legacy processes to a scalable cloud-based lake house, and develop ETL pipelines for diverse data sources.
Responsibilities
- Architect and sustain the Office of Medical Education’s enterprise data infrastructure
- Migrate current rudimentary processes (AppScript/Google Sheets) to a scalable cloud-based lakehouse (e.g., BigQuery) to resolve critical data capacity limits
- Develop and maintain ETL pipelines within Google Cloud to ingest and unify data from disparate sources (SIS, Canvas LMS, Learning Space, and future-state MHS GENESIS metadata)
- Oversee data management, programming, processes, and data analysis activities for research protocols, ensuring compliance with Standard Operating Procedures (SOPs), Good Clinical Practices (GCPs), sponsor, and regulatory requirements
- Lead delivery of reporting and analytical solutions to stakeholders, supporting high-volume learning analytics, Accreditation QA/QI, and Competency-Based Medical Education (CBME)
- Develop future-state AI integrations using Learning Space and Gemini APIs for automated learner feedback
- Manage and mentor technical staff
- Collaborate cross-functionally with research, technical, clinical, and development teams to leverage technical and scientific information
- May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role
Skills
- Bachelor's Degree
- Minimum of 9-10 years experience required
- Knowledge of relevant programming language(s) (e.g., Python, SQL, Apps Script)
- Technical expertise in building cloud-based ETL pipelines and managing API integrations
- Experience in handling large data sets and awareness of data quality issues
- Familiarity with clinical data management systems
- Ability to work independently and as part of a team
- Ability to meet deadlines
- Excellent oral and written communication skills and demonstrated ability to lead and direct the work of others
- Possess problem-solving skills and the ability to handle multiple tasks
- May require U.S. Citizenship and the ability to obtain and maintain a T3 Secret clearance
- Google Cloud Professional Data Engineer Certification
- Master's Degree
Benefits
- HJF offers a comprehensive suite of benefits focused on your health and well-being, from medical, dental, and vision coverage to health savings and retirement plans, and more.
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