Data Engineer - Boston

Job Highlights· Location: Remote, must be based in the United States· Salary Range: $115,000-$165,000, plus benefits· Position Type: Grant funded, limited-term opportunity· Position End Date: June 30, 2025

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. Working within Boston Public Health Commission, IT, Data modernization, the Data Engineer will deliver the architecture needed for data generation, storage, processing, and analysis. 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 Boston Public Health Commission, IT, Data modernization. This position is eligible for a fully remote work arrangement for U.S. based candidates.

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, data lakes or data warehouses.
• Optimize data pipelines, infrastructure, and workflows for performance and scalability.
• Design, create, test, deploy and maintain data pipelines that deliver curated, value-added data assets such as data lakes and other purpose-built data stores. Ensure data pipelines are optimized, highly reliable, and contain low technical debt.
• 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 and ELT 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, Data Science, or a related field. …