Data Engineer - Great Lakes

Job Description

• 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 • Optimize data pipelines, infrastructure, and workflows for performance and scalability to handle growing data volumes associated with public health initiatives • Monitor data pipelines and systems for performance issues, errors, and anomalies, and implement solutions to address them • Implement security measures to protect sensitive public health information, complying with relevant regulations (e.g., HIPAA) • 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

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field • Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL • Experience regarding engineering best practices such as source control, automated testing, continuous integration and deployment, and peer review • Strong understanding of database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) • Experience with cloud based computing & data storage solutions (e.g. AWS S3, Azure) • Expertise in data modeling, ETL (Extract, Transform, Load) processes, and data integration techniques • Familiarity with agile development methodologies, software design patterns, and best practices

Benefits

• Salary Range: $115,000-$165,000, plus benefits • Grant funded, limited-term opportunity • Position End Date: June 30, 2025