Data Engineer

Data Engineer – Data Strategy

A skilled, hands‑on Data Engineer responsible for designing, building, deploying, and operating enterprise data ingestion, transformation, and delivery pipelines within a Databricks Lakehouse environment. This full‑time, exempt position is located in a hybrid setting. The role focuses on data integration and interoperability, enabling secure and reliable access to curated datasets for analytics, applications, and machine learning use cases.

• Design, build, test, and operate scalable batch and streaming data ingestion and transformation pipelines using Databricks, Apache Spark, Delta Lake, Python, and SQL.
• Implement data integration workflows that ingest and process data from diverse internal and external sources, including databases, files, REST APIs, and streaming platforms, in alignment with established architectural standards.
• Develop, maintain, and document curated datasets and data products that support analytics, reporting, and downstream application and machine learning use cases.
• Package, version, and deploy data pipelines using Databricks Asset Bundles, adhering to established CI/CD processes and environment promotion practices (development, test, production).
• Apply data quality validation, monitoring, and observability controls to ensure data accuracy, pipeline reliability, and compliance with defined service-level objectives.
• Implement and maintain access controls, authentication, and authorization using Unity Catalog in accordance with enterprise data governance and security requirements.
• Monitor pipeline performance and resource utilization, perform routine tuning, and support incident resolution and root‑cause analysis for production data workflows.
• Collaborate with platform, analytics, and governance teams to clarify data requirements, resolve integration issues, and support data consumers.

• Technical execution and problem solving
• Attention to detail and data quality
• Collaboration within cross‑functional teams
• Accountability for operational stability

• Databricks, Apache Spark, Delta Lake SQL and Python
• Batch and streaming ingestion patterns
• Federated data access and APIs Unity Catalog and governance

• Education:
  
  Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Experience:
  
  5+ years of hands‑on data engineering experience supporting production data pipelines.

• Education:
  
  Master’s degree preferred.
• Experience:
  
  Large‑scale governed data environments.

• Databricks certifications preferred.

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.

The University of Maryland Global Campus 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.

• Generous Time Off: 22 days of paid vacation, 15 days of sick leave, 3 personal days, and 16 paid holidays (17 during general election years). For part‑time employees, time off rates will be prorated based on the number of hours worked.
• Comprehensive Health Coverage:
  Access to health…