Data Engineer

Collegis Education•Oak Brook, IL

22h•Hybrid

About The Position

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.

Requirements

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.
Relevant certifications in data engineering or cloud computing is a plus, with GCP preferred.

Nice To Haves

Terraform familiarity

Responsibilities

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.