Data Engineer - Hybrid - 80% remote

About the role

Calling all experienced Data Engineers! Bring your expertise to this exciting hybrid role and help turn complex data into solutions that help drive decisions while enjoying 80% remote work. This position requires the ability to report onsite to the Raleigh, NC office within two hours.

Essential Functions

• Develop and maintain operationalized data pipelines for data science and data analysis.
• Work closely with departmental business analysts and subject matter experts to understand requirements and translate them into automated and optimized data models.
• Act as an evangelist for data governance, security, and storage best practices.
• Learn and use modern data preparation, integration, and AI-enabled metadata management tools and techniques.

About Our Team

Wake County Information Technology is located in the heart of Raleigh’s booming downtown, part of the Research Triangle area. Our team of smart, dedicated professionals is respected within our organization and recognized as leaders in the use of technology by the prestigious Center for Digital Government, regularly ranking in the top ten among counties with a population of 1 million or more and garnering a #1 spot in Digital Government experience. We believe a good work/life balance helps people make better decisions, be more creative, and enjoy coming to work. If you thrive in a highly collaborative, fast-paced, supportive environment, this is the place for you.

Required

The Basics

• Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or a related field.
• Two years of experience in data science and analytics.
• Six years of experience in data science or analytics may substitute for the combined education and experience requirements.
• Equivalent education and experience are accepted.

Beyond the Basics

• Experience developing and supporting production data pipelines, including monitoring, error handling, scheduling, documentation, and data quality validation.
• Experience with data integration, ETL/ELT, and automation tools such as Boomi, Azure Data Factory, or similar platforms.
• Experience and knowledge of data management, data quality, performance optimization, and data governance best practices.
• Solid experience with SQL and relational database technologies, including developing, troubleshooting, and optimizing queries, stored procedures, and data transformations.
• Experience with scripting or programming languages such as Python, PowerShell, Java, or similar languages used for data processing and automation.

How Will We Know You're 'The One'?

• Knowledge of data visualization and business intelligence platforms such as Power BI, Tableau, Qlik, or similar tools, with an understanding of how engineered data supports downstream analytics and reporting.
• Knowledge of scripting, data preparation, and automation tools such as Python, Alteryx, KNIME, or similar technologies.
• Knowledge of data governance, data quality, data classification, security, and access control requirements as they apply to production data pipelines and integrations.
• Ability to communicate and collaborate effectively with business subject matter experts, technical teams, and organizational leadership.
• Ability to communicate technical information clearly in written and verbal formats and translate business needs into technical specifications for data solutions.