Analytics Engineer, Health Data Systems — Hybrid/Remote

Hugh Chatham Health; Winston-Salem (NC); Hybrid; USD 53,000 - 79,000; Full time

Benefits offered by this job

Paid Time Off

Health and welfare benefits

Flexible Spending Accounts

Family benefits

Defined contribution retirement plans

Job summary

Wake Forest University Health Sciences is seeking an Analytics Engineer to build and maintain analytics-ready data products within a modern data stack in North Carolina. You will focus on SQL, dbt, and cloud data warehouses to enable reporting, decision-making, and advanced analytics for the School and clinical enterprise.

Under limited supervision, design data models, implement data quality testing, and collaborate with stakeholders to translate requirements into scalable data solutions.

Qualifications

• Bachelor's degree in computer science or related field with four years of experience in computing or an equivalent combination.
• Experience with installation and maintenance of personal computers.
• Strong SQL, data modeling, and dbt experience; familiarity with cloud data warehouses.

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 domains across academic, clinical, financial, research, and operational areas.
• 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 testing

Git-based development

CI/CD

Communication

Education

Bachelor's degree in computer science or related field

Tools

Snowflake

BigQuery

Databricks

Redshift

Job description

Wake Forest University Health Sciences is seeking an Analytics Engineer to build and maintain analytics-ready data products within a modern data stack in North Carolina. You will focus on SQL, dbt, and cloud data warehouses to enable reporting, decision-making, and advanced analytics for the School and clinical enterprise.

Under limited supervision, design data models, implement data quality testing, and collaborate with stakeholders to translate requirements into scalable data solutions.