Data Engineer

🕒 March 23

🗿 South Dakota – Remote

🗿 South Dakota – Remote

💵 $103.5k - $143.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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CDC Foundation

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1992

🤝 Non-profit

🏥 Healthcare

🌍 Social Impact

Non-profit • Healthcare • Social Impact

CDC Foundation is a 501(c)(3) nonprofit organization that partners with the U. S. Centers for Disease Control and Prevention (CDC) and a broad network of public-, private-, and community-sector organizations to advance public health locally and globally. Since 1995 it has supported high-impact programs and projects (including emergency responses, global health initiatives, workforce services, maternal/newborn NEST kits, and community health programs), mobilizes funding and partners, and runs fundraising and donor-engagement activities to support research, program delivery, and emergency response. The organization works across state, local, and international settings to expand health programs, strengthen public-health capacity, and translate data and research (including AI collaborations) into public-health action.

📋 Description

• Create and manage the systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, storage, and security • Work with the Data Scientist to connect dashboards to data pipelines using GPTEC data management system • Collect or extract data from various sources, transforming and cleaning data 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 (Extract, Transform, Load) processes to ensure the accuracy, completeness, and consistency of data • Design and manage data storage systems, including relational databases, NoSQL databases, and data warehouses • Remain knowledgeable about industry trends, best practices, and emerging technologies in data engineering, and incorporate the trends into the organization's data infrastructure • Provide technical guidance for other staff • Communicate effectively with partners at all levels of the organization to gather requirements, provide updates, and present findings

🎯 Requirements

• 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 Python, Java, Scala, or SQL • Experience with big data technologies and frameworks like Hadoop, Spark, Kafka, and Flink • Strong understanding of database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) • Experience with Microsoft Fabric preferred • Experience regarding 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; and the ability to develop productive working relationships with colleagues and partners • Experience working in a virtual environment with remote partners and teams • Proficiency in Microsoft Office

🏖️ Benefits

• Up to 10% domestic travel may be required