Data Engineer
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Job Description
Data Engineer building pipelines, warehouses, and analytics data for Joyce University’s healthcare education mission. Supporting reporting, compliance, accreditation, and institutional decision-making.
Responsibilities:
- Design, build, and maintain ETL/ELT pipelines loading data from the SIS, LMS, CRM, and third-party sources
- Build integrations through APIs, flat files, and database connections, including scheduled and incremental loads
- Monitor pipeline runs, set up alerting, and quickly fix failures with documented root-cause notes
- Design and maintain the University data warehouse using dimensional modeling, including star schemas, conformed dimensions, and slowly changing dimensions
- Create curated, reusable datasets for enrollment, retention, course success, financial aid, and finance
- Tune SQL Server performance through indexing, partitioning, and query optimization
- Build automated data-quality checks and reconcile warehouse figures against source systems
- Apply role-based access, encryption, and masking to comply with FERPA, GLBA, and University policy
- Deliver data sources and semantic models for Sigma and support report builders
- Supply accurate data for IPEDS, accreditation, and internal reporting
- Translate stakeholder requests into requirements, user stories, and acceptance criteria
- Evaluate data systems and recommend improvements in architecture, tooling, and processes
- Use Git, code review, and change management for pipeline and database code
- Share project status, risks, and changes with stakeholders and leadership
- Perform other related duties as assigned
Requirements:
- Bachelor's degree in computer science, information systems, data science, or a related field, or an equivalent combination of education and experience
- 3+ years of experience building and supporting data pipelines or data warehouses in a production environment
- Advanced SQL skills, including complex queries, stored procedures, and performance tuning, ideally in Snowflake
- Hands-on experience with at least one ETL tool such as SSIS, Azure Data Factory, dbt, or similar
- Working knowledge of dimensional data modeling and data warehouse design
- Experience with at least one scripting language, such as Python or PowerShell, for automation and data processing
- Clear written and verbal communication skills with both technical and non-technical colleagues
Benefits:
- Self-directed paid time off
- 12 paid holidays
- Medical, dental, and vision insurance
- Employer-paid short-term and long-term disability coverage
- 401(k) retirement plan
- Professional development opportunities
- Continuing education opportunities
- A mission-driven environment focused on healthcare education and student success
- The flexibility to work fully remote or in a hybrid arrangement from our Draper, Utah campus
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