Healthcare Analytics Data Engineer — Epic Cosmos

Saint Francis Health System; Tulsa (OK); On-site; USD 90,000 - 130,000; Full time

Job summary

Saint Francis Health System in Tulsa, OK is seeking an Analytics Data Engineer to design and maintain data infrastructure powering neuroscience and mental health research. This role builds scalable data pipelines and analytics-ready datasets using Epic Cosmos and related platforms to support clinical research.

The engineer collaborates with investigators, clinicians, data scientists, and research teams to translate questions into technical data solutions, ensuring data quality and HIPAA

Qualifications

• Bachelor's degree in related field.
• Epic Cosmos, Cogito or Epic Caboodle Certification; one data model certification preferred.
• Minimum 3 years related experience with strong SQL, healthcare focus; experience with Epic Clarity or Caboodle; Cosmos is a plus.
• Knowledge of healthcare data standards (ICD-10, CPT, SNOMED CT, LOINC, RxNorm) and HIPAA.
• Excellent communication and collaboration skills; able to work independently in a fast-paced environment.

Responsibilities

• Designs and maintains ELT pipelines for clinical and research data.
• Develops and optimizes SQL queries, databases, and analytics-ready datasets.
• Extracts, cleans, and integrates data from Epic, Cosmos, REDCap, and other systems.
• Collaborates with researchers to translate questions into technical data solutions.
• Ensures data quality, HIPAA compliance, and reproducible workflows.
• Documents data pipelines and supports continuous improvement of research data infrastructure.

Skills

SQL

Healthcare knowledge

Analytical thinking

Communication skills

Independent worker

Education

Bachelor's degree in related field

Tools

Epic Cosmos

Epic Clarity

Epic Caboodle

Job description

Saint Francis Health System in Tulsa, OK is seeking an Analytics Data Engineer to design and maintain data infrastructure powering neuroscience and mental health research. This role builds scalable data pipelines and analytics-ready datasets using Epic Cosmos and related platforms to support clinical research.

The engineer collaborates with investigators, clinicians, data scientists, and research teams to translate questions into technical data solutions, ensuring data quality and HIPAA