Real-World Data & Clinical Informatics Data Engineer, Senior

Booz Allen Hamilton • Bethesda, MD

8d

About The Position

Real-World Data & Clinical Informatics Data Engineer, Senior The Opportunity: As a Data Engineer, you will support the development and maintenance of scalable data stores that supply big data and real-world data in forms needed for data analysis. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives, including developing robust Extract, Transform, and Load (ETL) processes to integrate data from various sources into our data ecosystem, and designing and maintaining data models, schemas, and database structures to support analytical and operational use cases. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions. Join us. The world can't wait.

Requirements

• 5+ years of experience with the entire ETL pipeline, including data acquisition, data preparation, and database architecture with accompanying codebooks, data dictionaries, and metadata repositories
• 3+ years of experience with programming languages, such as Python, R, or SQL
• 2+ years of experience in AWS and big data ecosystems
• Experience building real-time data processing applications
• Experience with GitHub
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree

Nice To Haves

• Experience with AI or ML pipelines and processes
• Experience with Metadata Management
• Experience in working with federal public health agencies
• Possession of excellent communication skills
• Master's degree preferred; Doctorate degree a plus

Responsibilities

• designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives
• developing robust Extract, Transform, and Load (ETL) processes to integrate data from various sources into our data ecosystem
• designing and maintaining data models, schemas, and database structures to support analytical and operational use cases
• collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions

Benefits

• health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level