The CDC Foundation helps the Centers for Disease Control and Prevention (CDC) save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC’s critical health protection mission. Since 1995, the CDC Foundation has raised over $1.9 billion and launched more than 1,300 programs impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. The CDC Foundation managed hundreds of programs in the United States and in more than 90 countries last year. Visit www.cdcfoundation.org for more information.
Job Highlights
● Location: Remote, must be based in the United States
● Work Hours: 8am- 5pm Central time zone is preferred, but working hours are flexible.
● Salary Range: $103,500-$143,500 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate.
● Position Type: Grant funded, limited-term opportunity
● Position End Date: June 30, 2025
Overview
• The Data Engineer (DE) 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). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements. Working within Louisiana Department of Health, Office of Public Health, the DE will be responsible for designing, developing, and maintaining robust Extract, Transform, and Load (ETL) pipelines and data architectures using Python, Apache Airflow, and other cutting-edge data engineering technologies. In addition, this role will work collaboratively to implement scalable data storage solutions and automate data workflows. The Data Engineer role will also involve enforcing data security best practices and troubleshooting data issues to ensure data quality and integrity. The Data Engineer will collaborate with data content experts, analysts, data scientists, data modelers, warehouse architects, IT staff, and other organization staff to design and implement proposed solutions and architectures that meet the needs of the public health agency. The Data Engineer will be hired by the CDC Foundation and assigned to the Louisiana Department of Health, Office of Public Health. This position is eligible for a fully remote work arrangement for U.S. based
Responsibilities
• Create and manage the systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage.
• Collect data from various sources, transforming and cleaning it to ensure accuracy and consistency. Load data 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, and to ensure that 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, NoSQL databases, and data warehouses.
• Knowledgeable about industry trends, best practices, and emerging technologies in data engineering, and incorporating the trends 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.
Qualifications
• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience).
• Minimum 5 years of experience as a Backend Data Engineer or in a similar role and strong understanding of ETL processes and data warehousing concepts.
• Proven experience with Python and related data engineering libraries (e.g., pandas, NumPy, Spark) and hands-on experience with Apache Airflow for managing data pipelines and workflows.
• Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Candidate should be
Location: Louisiana
Posted: Nov. 15, 2024, 7:46 p.m.
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