Healthcare Analytics Data Engineer - ELT for EHR

Saint Francis Health System; Tulsa (OK); On-site; USD 90,000 - 120,000; Full time

Job summary

Saint Francis Health System in Tulsa, Oklahoma seeks an Analytics Data Engineer to query, build and support the data infrastructure powering neuroscience and mental health research. This role transforms healthcare data into secure, high-quality datasets, develops scalable data pipelines, and optimizes databases across Epic Cosmos and Caboodle.

This position collaborates with investigators, clinicians, data scientists and IT teams to enable robust analytics while maintaining HIPAA compliance and

Qualifications

• Minimum Education: Bachelor’s degree in related field.
• Licensure, Registration and/or Certification: Epic Cosmos, Cogito or Epic Caboodle Certification. One data model certification, preferred.
• Work Experience: Minimum 3 years related experience. Strong SQL experience, preferably within healthcare, with Epic Clarity or Caboodle.

Responsibilities

• Designs and maintains Extract, Load, Transform (ELT) pipelines for clinical and research data.
• Develops and optimizes complex SQL queries, databases, and analytics-ready datasets.
• Extracts, cleans, and integrates data from Epic, Cosmos or similar EHR platforms, REDCap, and other research systems.
• Collaborates with researchers to translate research questions into technical data solutions.
• Ensures data quality, security, HIPAA compliance, and reproducible workflows.

Skills

SQL

HIPAA knowledge

Data management

Communication skills

Analytical skills

Education

Bachelor’s degree in related field

Tools

Epic Cosmos

Epic Caboodle

Epic Clarity

REDCap

Job description

Saint Francis Health System in Tulsa, Oklahoma seeks an Analytics Data Engineer to query, build and support the data infrastructure powering neuroscience and mental health research. This role transforms healthcare data into secure, high-quality datasets, develops scalable data pipelines, and optimizes databases across Epic Cosmos and Caboodle.

This position collaborates with investigators, clinicians, data scientists and IT teams to enable robust analytics while maintaining HIPAA compliance and