Analytics Data Engineer

Saint Francis Health System; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

Saint Francis Health System is seeking an Analytics Data Engineer to query, build and support data infrastructure powering neuroscience and mental health research. You will collaborate with investigators, clinicians, data scientists, data architects, developers, integrators and research teams to transform healthcare data into secure, high-quality research datasets and scalable pipelines.

Experience with Epic Cosmos or similar platforms, SQL mastery, HIPAA knowledge, and strong communication are

Qualifications

• Bachelor’s degree in related field is required.
• Strong SQL experience in healthcare is required.
• Experience with Epic Clarity or Caboodle is preferred.

Responsibilities

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

Skills

SQL

HIPAA compliance

Data modeling

Data analysis

Communication

Education

Bachelor’s degree

Tools

Epic Cosmos

Epic Clarity

Epic Caboodle

REDCap

Microsoft 365

Job description

Full Time

Days

Job Summary: The Analytics Data Engineer queries, builds and supports the data infrastructure that powers innovative neuroscience and mental health research. This role works with investigators, clinicians, data scientists, Data Architects, Developers, Integrators, and research teams to transform healthcare data into secure, high-quality research datasets, develop scalable data pipelines, optimize databases, and advance clinical research using Epic (Cosmos) and similar enterprise healthcare data platforms.

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. The ideal candidate will have strong SQL experience, preferably within healthcare, along with experience using Epic Clarity or Caboodle. Experience with Epic Cosmos is an additional plus.

Knowledge, Skills and Abilities: Knowledge of Microsoft 365 and other applicable software. Advanced knowledge of structured query language (SQL). Knowledge of healthcare data standards (ICD-10 (InternationalClassification of Diseases, 10th Revision), CPT(Current Procedural Terminology), SNOMED CT (SystematizedNomenclature of MedicineClinical Terms), LOINC(Logical Observation IdentifiersNames and Codes), and RxNorm (astandardized nomenclaturefor clinical drugsand drug deliverydevices), whileHIPAA (Health InsurancePortability and AccountabilityAct). Proven knowledge of data management to understand integrity issues and facilitate their resolution. Excellent communication skills, both written and verbal that present clear and concise information. Strong analytical skills.

Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities with competing deadlines.

Essential Functions and Responsibilities: Designs and maintains Extract, Load, Transform (ELT) pipelines for clinical and research data. Develops and optimizes complex Structured Query Language (SQL) queries, databases, and analytics-ready datasets. Extracts, cleans, and integrates data from Epic, Cosmos, or similar Electronic Health Record (EHR) Platforms, Research Electronic Data Capture (REDCap), and other research systems. Collaborates with researchers to translate research questions into technical data solutions.
Ensures data quality, security, Health Insurance Portability and Accountability Act (HIPAA) compliance, and reproducible workflows. Documents data pipeline and support continuous improvement of research data infrastructure.

Decision Making: Independent judgment in making decisions involving non-routine problems under general supervision.

Working Relationships: Works with other healthcare professionals and staff. Works frequently with individuals at Director level or above.

Special Job Dimensions: None.

Supplemental Information: This document generally describes the essential functions of the job and the physical demands required to perform the job. This compilation of essential functions and physical demands is not all inclusive nor does it prohibit the assignment of additional duties.

Information Technology Enterprise Data Analytics - Yale Campus

Location:

Tulsa, Oklahoma 74136

EOE Protected Veterans/Disability