Analytics Engineer: Data Pipelines & Modeling (Hybrid)

Hugh Chatham Health; Winston-Salem (NC); Hybrid; USD 52,000 - 79,000; Full time

Job summary

Advocate Health, in collaboration with Wake Forest University School of Medicine, seeks an Analytics Engineer to build analytics-ready data products supporting reporting, decision-making, and advanced analytics.

Working within a modern data stack, you will emphasize data quality, automation, and scalable design, partnering with stakeholders to deliver value across clinical and academic domains.

Qualifications

• Bachelor's degree in a related field and four years of programming or operations research experience.

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 enterprise systems, interfacing with multiple domains.
• Partner with 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

Git-based development

CI/CD

Communication

Independent work

Education

Bachelor's degree in Computer Science or related field

4+ years of experience in computer programming or operations research

Tools

Snowflake

BigQuery

Databricks

Redshift

Job description

Advocate Health, in collaboration with Wake Forest University School of Medicine, seeks an Analytics Engineer to build analytics-ready data products supporting reporting, decision-making, and advanced analytics.

Working within a modern data stack, you will emphasize data quality, automation, and scalable design, partnering with stakeholders to deliver value across clinical and academic domains.