Databricks Analytics Engineer — Lakehouse Metrics & AI

University of Maryland Global Campus; Adelphi (MD); On-site; USD 110,000 - 125,000; Full time

Benefits offered by this job

Health insurance

Generous time off

Tuition remission

Retirement plans

Job summary

University of Maryland Global Campus is seeking an Analytics Engineer to build and maintain analytics-ready data layers in Databricks, transforming curated data into business-ready models and supporting AI-powered analytics and natural language queries. Strong SQL and Python are required to develop data products, test results, and sustain analytics environments.

You will work with Databricks Medallion Architecture, semantic layer objects, and Redshift maintenance during migration, delivering

Qualifications

• Three to five years of experience building and maintaining production data models, datasets, or reporting assets
• Experience writing production SQL against a cloud data warehouse or Lakehouse
• Experience with data governance and documenting data lineage

Responsibilities

• Build and maintain Gold and Platinum layer data models in Databricks
• Develop semantic layer objects and document metric definitions
• Prepare datasets, metadata, and example queries for AI Genie Agents and dashboards
• Test and reconcile modeled results against systems of record; maintain data lineage
• Maintain and optimize Redshift assets during migration to Databricks
• Support analytical and reporting needs through ad hoc SQL and Tableau dashboards
• Collaborate with stakeholders and maintain high data quality and governance

Skills

SQL proficiency

Python

Databricks

Delta Lake

Databricks SQL

Workflows

Tableau

Git version control

Data modeling

Data governance

Education

Bachelor's degree in Computer Science/Info Systems/Data Analytics/Statistics/Mathematics

Tools

Databricks

Delta Lake

Databricks SQL

Workflows

Medallion Architecture

Amazon Redshift

Tableau

Git

Job description

University of Maryland Global Campus is seeking an Analytics Engineer to build and maintain analytics-ready data layers in Databricks, transforming curated data into business-ready models and supporting AI-powered analytics and natural language queries. Strong SQL and Python are required to develop data products, test results, and sustain analytics environments.

You will work with Databricks Medallion Architecture, semantic layer objects, and Redshift maintenance during migration, delivering