Data Engineer
Summary
Builds and maintains scalable cloud-native data pipelines and integrations to support Collegis Education’s edtech operations, ensuring data quality, governance, and cross-team collaboration.
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.
What You’ll Do:
- 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.
What You'll Bring: Experience & Skills
- Bachelor's or Master's Degree in MIS, IS, Business Analytics, Computer Science, a related field, or equivalent experience.
- 2-5 years of experience in data engineering.
- Advanced SQL, plus bash and Python competency. Terraform familiarity a plus.
- Experience with cloud-native data integration and transformation tools such as Apache Beam, Google Cloud Data Fusion, dbt, serverless functions.
- Experience with cloud-native data storage solutions.
- Experience with common API integration and consumption patterns.
- Experience with cloud data pipeline orchestration tools and approaches.
- Experience working with cloud-native big data architecture, including cloud data warehouse, data lake, and lakehouse approaches.
- Ability to understand cloud and legacy RDBMS and NoSQL design patterns and trade-offs.
- Strong proficiency with data quality processes and workflows.
- Working experience with DevOps processes and workflows.
- Working experience with data governance and security standards.
- Strong organizational skills.
- Strong documentation skills.
- Ability to independently prioritize tasks with and without manager feedback.
- Ability to manage technical partner engagements.