Data Engineer

Summary

Join the CDC Foundation as a Data Engineer to design, build, and maintain data infrastructure for a public health organization. This role will play a crucial part in advancing the CDC Foundation's mission by providing technical guidance and collaborating with cross-functional teams.

Requirements

• Bachelor’s degree in computer science, Information Technology, Data Science, or a related field
• Minimum 5 years of relevant professional experience
• Proficiency in common scripting languages and specifications used in data engineering, such as Python, R, SAS and SAS Viya readiness
• Knowledge of medical coding concepts like LOINCs, SNOMED and ICD-10
• Familiarity with RedCap data collection and extraction

Responsibilities

• Create and manage the systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage
• Assess existing data pipeline and work with programs to envision and assist in developing an ideal future state
• Collect data from various sources, validating and transforming to conform with defined rules to ensure accuracy and consistency. Load, import data into surveillance systems or data warehouses
• Optimize data pipelines, infrastructure, and workflows for performance and scalability
• Monitor data pipelines and systems for performance issues, errors, and anomalies, and implement solutions to address them
• Implement security measures to protect sensitive and highly confidential information
• Collaborate with data scientists, analysts, and other partners to understand their data needs and requirements, and to ensure that the data infrastructure supports the organization's goals and objectives
• Implement and maintain ETL processes to ensure the accuracy, completeness, and consistency of data
• Design and manage data storage systems, including relational databases, NoSQL databases, and data warehouses

Benefits

Salary Range: $103,500-$143,500 per year, plus benefits