Analytics Data Engineer

Saint Francis Health System

2d • Onsite

About The Position

The Analytics Data Engineer queries, builds, and supports data infrastructure for neuroscience and mental health research. The role works with investigators, clinicians, data scientists, Data Architects, Developers, Integrators, and research teams to transform healthcare data into secure, high-quality research datasets. It develops scalable data pipelines, optimizes databases, and supports clinical research using Epic (Cosmos) and similar enterprise healthcare data platforms. The position exercises independent judgment when making decisions about non-routine problems under general supervision and works with healthcare professionals and staff, frequently including individuals at Director level or above.

Requirements

• Bachelor’s degree in a related field.
• Epic Cosmos, Cogito, or Epic Caboodle certification.
• At least 3 years of related experience.
• Advanced knowledge of SQL.
• Knowledge of Microsoft 365 and other applicable software.
• Knowledge of healthcare data standards including ICD-10, CPT, SNOMED CT, LOINC, and RxNorm, and HIPAA.
• Proven knowledge of data management, including understanding data integrity issues and facilitating their resolution.
• Excellent written and verbal communication skills, with the ability to present clear and concise information.
• Strong analytical skills.
• Ability to work independently and collaboratively in a fast-paced environment while managing multiple priorities and competing deadlines.

Nice To Haves

• One data model certification.
• Strong SQL experience in healthcare.
• Experience using Epic Clarity or Caboodle.
• Experience with Epic Cosmos.

Responsibilities

• Design and maintain Extract, Load, Transform (ELT) pipelines for clinical and research data.
• Develop and optimize complex SQL queries, databases, and analytics-ready datasets.
• Extract, clean, and integrate data from Epic, Cosmos, or similar Electronic Health Record platforms, REDCap, and other research systems.
• Collaborate with researchers to translate research questions into technical data solutions.
• Ensure data quality, security, HIPAA compliance, and reproducible workflows.
• Document data pipelines and support continuous improvement of research data infrastructure.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level