Data Engineer

Overview

The Data Engineer will play a crucial role in advancing the CDC Foundation's mission by designing, building, and maintaining data infrastructure for a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI), a federally funded CDC Foundation program that provides technology and data expertise to accelerate information system improvements for the nation's public health agencies. Working within the Chickasaw Nation Department of Health (CNDH), Division of Public Health, the Data Engineer will collaboratively plan and develop solutions for interoperable data generation, storage, processing, and analysis across data systems relevant to the tribal public health agency.

The role involves collaboration with CNDH teams, data content experts, analysts, data scientists, data modelers, warehouse architects, IT staff, and other organization staff to design and implement solutions that meet the agency’s needs while providing training and mentorship to support capacity development and system sustainability. The position is eligible for a fully remote work arrangement for U.S. based candidates.

• Create and manage systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage.
• Collect data from various sources, transform and clean it to ensure accuracy and consistency, and load it into storage 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 information.
• Collaborate with data scientists, analysts, and other partners to understand their data needs and requirements, ensuring the data infrastructure supports the organization’s goals and objectives.
• Collaborate with cross‑functional teams to understand data requirements and design scalable solutions that meet business needs.
• Implement and maintain ETL processes to ensure the accuracy, completeness, and consistency of data.
• Design and manage data storage systems, including relational databases, No
  
  SQL databases, and data warehouses.
• Stay knowledgeable about industry trends, best practices, and emerging technologies in data engineering, and incorporate them into the organization’s data infrastructure.
• Provide technical guidance to other staff.
• Communicate effectively with partners at all levels of the organization to gather requirements, provide updates, and present findings.
• Up to 10% domestic travel may be required.

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• Minimum 5 years of relevant professional experience.
• Proficiency in programming languages commonly used in data engineering, such as R, Python, Java, Scala, or SQL; capable of implementing data automations within existing frameworks rather than writing one‑off scripts.
• Experience with big data technologies and frameworks like Hadoop, Spark, Kafka, and Flink.
• Strong understanding of database systems, including relational databases (e.g., MySQL, Postgre
  
  SQL) and No
  
  SQL databases (e.g., Mongo
  
  DB, Cassandra).
• Experience with large/national datasets and Epic Health Record systems is preferred.
• Experience with data visualization tool Power BI.
• Experience with engineering best practices such as source control, automated testing, continuous integration and deployment, and peer review.
• Knowledge of data warehousing concepts and tools.
• Experience with cloud computing platforms.
• Expertise in data modeling, ETL (Extract, Transform, Load) processes, and data integration techniques.
• Familiarity with agile development methodologies, software design patterns, and best practices.
• Strong analytical thinking and problem‑solving abilities.
• Excellent verbal and written communication skills, including the ability to convey technical concepts to non‑technical partners effectively.
• Flexibility to adapt to evolving project requirements and priorities.
• Outstanding interpersonal and teamwork skills; the ability to develop productive working…