Data Engineer - PESMOA

• 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.

Supervisory Responsibilities

• Direct Supervisor: Direct authority to make decisions on the following: employee hiring, disciplinary action, starting salaries and merit increases; conduct employee performance evaluations and directs work activities.

• Bachelor’s Degree; Master’s Degree preferred.
• Minimum of 9-10 years experience required.

Required Knowledge, Skills and Abilities

• 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.

• The annual salary range for this position is $127,000-$138,000. Actual salary will be determined based on experience, education, etc., * 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.

HJF is seeking a Data Engineer who will be architecting and maintaining the Office of Medical Education’s enterprise data infrastructure, which includes migrating legacy processes to a scalable cloud-based lake house and developing ETL pipelines for diverse data sources. The position also leads the delivery of reporting and analytical solutions to stakeholders and oversees compliance with research protocols. U.S. citizenship required.

This position Organizationally reports to Office of CIO, and functionally reports to SOM (School of Medicine) at Uniformed Services University in Bethesda, MD.

The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF’s support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals.