Analytics Engineer: SQL, dbt & Data Platform Lead

610 Wake Forest University Baptist Medical Center; Winston-Salem (NC); Hybrid; USD 72,000 - 119,000; Full time

Benefits offered by this job

Health benefits

Educational Assistance Program

Flexible spending accounts

Retirement plan with employer match

Job summary

Wake Forest University Health Sciences is seeking an Analytics Engineer to build analytics-ready data products within a modern data stack. You will develop datasets with dbt and SQL, model data for downstream analysts, and ensure data quality across enterprise systems.

You will collaborate with stakeholders, analysts, and engineers to translate requirements into scalable solutions, contributing to data platform improvements and governance.

Qualifications

• Bachelor's degree in computer course and four years' experience in computer programming or operations research required; Or an equivalent combination of education and experience in computer programming.
• Experience with installation and maintenance of personal computers.

Responsibilities

• Develop and maintain analytics-ready datasets using dbt and SQL.
• Design dimensional models and semantic data structures that support downstream analysts.
• Implement data quality testing, documentation, and governance standards.
• Explore and model data across numerous enterprise systems, gaining visibility into intersections of domains.
• Partner with business stakeholders, analysts, and data engineers to translate requirements into scalable data solutions.
• Contribute to analytics engineering standards and data platform improvements.

Skills

SQL

Data modeling

dbt

Cloud data warehouses

Data quality

Git/CI-CD

Communication

Independent work

Education

Bachelor's degree in computer course

Tools

dbt

Snowflake

BigQuery

Databricks

Redshift

Git

CI/CD

Job description

Wake Forest University Health Sciences is seeking an Analytics Engineer to build analytics-ready data products within a modern data stack. You will develop datasets with dbt and SQL, model data for downstream analysts, and ensure data quality across enterprise systems.

You will collaborate with stakeholders, analysts, and engineers to translate requirements into scalable solutions, contributing to data platform improvements and governance.