CampusWorks is redefining how higher education institutions use technology and functional managed services to drive transformation, financial sustainability, and student success. We serve as a true end-to-end partner to institutional leaders, delivering a fully integrated model that spans professional and managed services.
We are seeking Data Engineers at both the mid and lead level to build and operate a federated, multi-institution data platform on Azure Databricks and Microsoft Fabric. You will develop the pipelines that move data from Workday and a range of legacy source systems into a governed medallion lakehouse (Bronze / Silver / Gold), delivering clean, reliable, well-modeled data that powers analytics for multiple higher education institutions.
This posting covers two levels. As a Data Engineer, you will build and maintain production pipelines within established patterns. As a Lead Data Engineer, you will act as a senior technical lead — setting engineering standards, owning complex integrations, mentoring engineers, and reviewing code — as a hands-on individual contributor without direct-report responsibility. Please indicate in your application which level best fits your experience.
Responsibilities
Build and maintain batch data pipelines that ingest from Workday (HCM, Finance, Student) and legacy source systems into the Bronze layer
Develop transformation logic across Bronze / Silver / Gold layers using Spark, Python, and SQL on Databricks
Model data for analytics consumption, balancing performance, reliability, and maintainability
Orchestrate and schedule workloads (e.g., Databricks Workflows, Azure Data Factory, or Fabric pipelines) and monitor them for reliability
Implement data-quality checks and validation within pipelines
Work within the federated architecture and Unity Catalog security model, respecting the boundary between institution-administered and centrally managed catalogs
Follow the shared transformation standards and reference patterns set by the Solution Architect
Contribute to documentation, code reviews, and version-controlled deployment
Serve as senior technical lead on complex integrations and cross-institution data workstreams
Define and enforce engineering standards, patterns, and best practices
Mentor and provide technical guidance and code review to other engineers
Partner with the Solution Architect and governance leads on design decisions and platform improvements
Pipeline development & data modeling
Platform & governance alignment
Lead-level responsibilities (Lead Data Engineer)
The responsibilities listed above are representative of the role and may be adjusted to meet organizational priorities.
Qualifications & Requirements
Data Engineer: 3–6 years building production data pipelines. Lead Data Engineer: 7–10 years, with demonstrated technical leadership
Hands-on expertise with Apache Spark, Python, and SQL in a Databricks environment
Experience designing and building medallion or layered data architectures (Bronze / Silver / Gold or equivalent)
Proven experience integrating data from multiple ERP / SIS / operational source systems into an analytics platform
Experience with batch pipeline orchestration and scheduling (Databricks Workflows, Azure Data Factory, or similar)
Working understanding of data governance, security, and access concepts in a shared or multi-tenant environment
Strong problem-solving skills with a consistent focus on data quality and reliability
Excellent communication and collaboration skills on a remote team
Bachelor’s degree in a technical field or equivalent practical experience
Preferred Qualifications
Microsoft Fabric and/or Power BI experience
Data-quality tooling such as Great Expectations — expected for the Lead level
Experience with higher education source systems: Workday, Banner (Oracle), Colleague (SQL Server), Jenzabar, PowerFAIDS
Unity Catalog experience and familiarity with CI/CD for data (Git-based workflows, DevOps pipelines)
Exposure to streaming or near-real-time ingestion patterns
Databricks certification (e.g., Databricks Certified Data Engineer)
Skills Required
- Data Engineer: 3-6 years building production data pipelines
- Lead Data Engineer: 7-10 years with demonstrated technical leadership
- Hands-on expertise with Apache Spark, Python, and SQL in a Databricks environment
- Experience designing and building medallion or layered data architectures (Bronze / Silver / Gold)
- Proven experience integrating data from multiple ERP / SIS / operational source systems into an analytics platform
- Experience with batch pipeline orchestration and scheduling (Databricks Workflows, Azure Data Factory, or similar)
- Working understanding of data governance, security, and access concepts in a shared or multi-tenant environment
- Implement data-quality checks and validation within pipelines; strong focus on data quality and reliability
- Excellent communication and collaboration skills on a remote team
- Bachelor's degree in a technical field or equivalent practical experience
- Microsoft Fabric and/or Power BI experience
- Data-quality tooling such as Great Expectations (expected for Lead level)
- Experience with higher education source systems: Workday, Banner (Oracle), Colleague (SQL Server), Jenzabar, PowerFAIDS
- Unity Catalog experience and familiarity with CI/CD for data (Git-based workflows, DevOps pipelines)
- Exposure to streaming or near-real-time ingestion patterns
- Databricks certification (e.g., Databricks Certified Data Engineer)
What We Do
Since our inception in 1999, CampusWorks has become a trusted partner of countless colleges and universities across the United States and Canada. We serve higher education exclusively, so we have a deep understanding of and appreciation for your institution's mission, vision, and values as well as the business and technical challenges you’re facing. Since we are not associated with any hardware or software vendors, institutions know they can count on us to listen to their needs, provide unbiased insights into their organizational challenges, and develop tailored solutions with their best interests in mind. Our professional services team is comprised of senior-level technical and functional experts who have the experience and skill to take on your toughest challenges. Our services are rooted in systems thinking and reach across the institution—from Student Services to Human Resources to Finance to Academic Services—to remove obstacles standing in the way of success. We pride ourselves on the collaborative partnerships we form with our clients, and we value the opportunity to work alongside your team to implement change, achieve transformational results, and ensure lasting success. Dedicated exclusively to higher education, CampusWorks’ capabilities include: - Academic services - Accreditation and compliance - Assessments - Business process optimization - Cybersecurity - Enterprise resource planning (ERP) support - IT leadership - Network and infrastructure services - Project management - Shared services and collaborative services - Staff augmentation - Strategic planning Learn more at campusworksinc.com
