Strong SQL, including joins, aggregations, window functions, common table expressions (CTEs), and query troubleshooting.Python programming for data transformation, automation, and testing using PySpark and/or pandas.Working knowledge of Databricks including Delta Lake, Databricks SQL, notebooks, Workflows, and Medallion Architecture.Dimensional data modeling fundamentals, including star schema concepts, fact and dimension tables, and definition of grain and keys.Familiarity with semantic and metric layer concepts and with documenting metric definitions.Amazon Redshift SQL development and troubleshooting.Tableau development and dashboard design.Git-based version control and development practices.Ability to interpret business requirements, ask clarifying questions, and communicate technical concepts to non-technical audiences.Education:
Bachelor's Degree
Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, or a related field.
Three (3) to five (5) years of experience building and maintaining production data models, datasets, or reporting assets consumed by business intelligence tools and business users.Experience writing production SQL against a cloud data warehouse or Lakehouse platform.Experience working within an established data architecture and following defined modeling, testing, and documentation standards.Certifications:
N/AEducation:
Bachelor's Degree
Hands-on experience with Databricks, including Delta Lake, Databricks SQL, and Workflows within a Medallion Architecture.Experience contributing to semantic or metric layer development.Exposure to AI-enabled or natural language analytics platforms such as Databricks AI Genie Agents.Higher education experience supporting enrollment, retention, student lifecycle, academic operations, or related functions.Experience with PeopleSoft, D2L, Salesforce, or FERPA-regulated data.Advanced Tableau dashboard and visualization development.Certifications:
Databricks, Tableau, AWS, or other relevant analytics and cloud platform certifications.All submissions should include a cover letter and resume.
The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, ancestry, political affiliation or veteran status in employment, educational programs and activities, and admissions.
Workplace Accommodations:
The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall, based on disability, be excluded from participation in or be denied the benefits of the services, programs, or activities of the University, or be subjected to discrimination. For information about UMGC’s Reasonable Workplace Accommodation Policy or to request an accommodation, applicants/candidates can contact Employee Accommodations via email at employee-accommodations@umgc.edu.
