Data Engineer

In this role, you’ll help Collegis Education strengthen its data capabilities by building reliable, scalable, and secure data solutions that support professional services, partner insights, and data-driven decision-making.

This role exists to design, develop, and maintain data integration and transformation solutions across cloud-native environments, ensuring data pipelines, data quality, governance, and architecture support the needs of Collegis Education and its higher education partners.

• Design, develop and maintain data integration and transformation solutions using cloud-native tools such as Apache Beam, Google Cloud Data Fusion, dbt, serverless functions, and cloud-based database and data storage solutions.
• Build and run scalable and reliable data pipelines using cloud data pipeline orchestration tools and approaches.
• Ensure data quality and governance by implementing data quality processes and workflows.
• Collaborate with cross-functional teams to identify and integrate new data sources and to ensure alignment to data governance and security standards.
• Provide technical expertise in executing cloud-native big data architecture, including cloud data warehouse, data lake, and lakehouse approaches.
• Understand cloud and legacy RDBMS and NoSQL design patterns and trade-offs.
• Design, develop and deploy data solutions using common API integration and consumption patterns.
• Ensure adherence to development and security processes and workflows.
• Chip into team competency and cohesion with other data engineers through code reviews, working sessions, knowledge sharing sessions, and team activities.
• Document data engineering activities and processes.
• Lead technical partner engagements.
• Adhere to and enforce the appropriate information security policies based on the sensitivity of company data and report any security related issues.
• Reduce risk of theft, fraud, or misuse of information assets by acting as the data steward for the application(s) you administer.