Data Engineer

🕒 il y a 4 mois

🗿 South Dakota – Distant

🗿 South Dakota – Remote

💵 €103 500 - €143 500 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

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CDC Foundation

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1992

🤝 À but non lucratif

🏥 Santé

🌍 Impact social

Non-profit • Healthcare • Social Impact

La CDC Foundation est une organisation à but non lucratif 501(c)(3) qui collabore avec les Centers for Disease Control and Prevention (CDC) américains et un vaste réseau d'organisations des secteurs public, privé et communautaire pour faire progresser la santé publique aux niveaux local et mondial. Depuis 1995, elle soutient des programmes et des projets à fort impact (y compris des interventions d'urgence, des initiatives de santé mondiale, des services à la main-d'œuvre, des kits NEST pour mères/nouveaux-nés et des programmes de santé communautaires), mobilise des fonds et des partenaires, et organise des activités de collecte de fonds et d'engagement des donateurs pour soutenir la recherche, la mise en œuvre de programmes et la réponse aux urgences. L'organisation intervient à l'échelle des États, au niveau local et à l'international pour étendre les programmes de santé, renforcer les capacités en santé publique et traduire les données et la recherche (y compris les collaborations en IA) en actions concrètes de santé publique.

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

🎯 Exigences

• 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

🏖️ Avantages

• Up to 10% domestic travel may be required