Data Engineer-Enterprise Data, Governance,Integration, Analytics

Role Overview

The Data Engineer, Enterprise Data, Governance, Integration & Analytics will play a key role in strengthening NCOA’s data infrastructure, analytics capabilities, data governance practices, and business-process automation.

What You Will Do

Design, build, test, document, and maintain data pipelines, data models, and analytics-ready datasets. Serve as the technical and operational lead for NCOA’s data.world data catalog.

Why It Might Be a Fit

The ideal candidate will be equally comfortable building a reliable data pipeline, documenting and cataloging a data asset, and working directly with business users to translate an operational need into an adopted solution.

Requirements

• Bachelor’s degree in information technology, Computer Science, Data Analytics, Information Systems, or a related field, or equivalent combination of education and relevant experience.
• 2–4 years of relevant experience in data engineering, analytics engineering, business intelligence, database administration, systems integration, or related work.
• Experience with relational database management systems, SQL, data modeling, and analytics-ready dataset design.
• Experience designing, maintaining, or improving ETL/ELT pipelines, data transformations, data integrations, or automated data workflows.
• Experience with data cataloging, metadata management, data documentation, governance practices, or data stewardship workflows; experience with data.world preferred.
• Exposure to reporting, dashboards, and analytics platforms such as Power BI,QuickSight, Tableau, Salesforce reporting, or comparable tools.
• Ability to use AI-assisted tools responsibly to support development, documentation, analysis, testing, and productivity.
• Strong customer service, stakeholder communication, and expectation-setting skills.
• Excellent analytical, organizational, and problem-solving skills, including the ability to manage multiple priorities in a dynamic environment.
• Strong critical thinking skills and a desire to take initiative, learn new technologies, and improve existing processes.

Benefits

• Dental insurance
• Vision insurance
• Competitive and equitable compensation
• Geographic pay structure
• Equal Opportunity Employer
• Fostering an equitable, inclusive, and respectful workplace

Tagged as: Data Analysis, Power BI, Salesforce, SQL, Tableau