Manager Data Engineering at Franciscan Alliance, Inc.

, , United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

161343.0

Posted On

08 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, ELT, Cloud Data Platforms, SQL, Python, Data Modeling, BI Platforms, Medallion Architecture, Data Integration, DevOps, CI/CD, Agile Delivery, Team Leadership, Data Pipelines, Data Warehousing

Industry

Hospitals and Health Care

Description

Work From Home Work From Home Work From Home, Indiana 46544 The Manager of Data Engineering leads a team responsible for building and maintaining reliable, scalable data pipelines and models that support enterprise reporting, analytics, and data science. This role is critical in delivering data across a hybrid architecture, with a strong emphasis on our modern cloud data lakehouse platform that follows structured frameworks such as the medallion architecture (bronze, silver, gold layers). WHO WE ARE With 12 ministries and access points across Indiana and Illinois, Franciscan Health is one of the largest Catholic health care systems in the Midwest. Franciscan Health takes pride in hiring coworkers that provide compassionate, comprehensive care for our patients and the communities we serve. WHAT YOU CAN EXPECT Lead, mentor, and develop a high-performing data engineering team, fostering a culture of technical excellence, accountability, and continuous improvement in data pipeline development and delivery. Design, implement, and maintain scalable, efficient ETL/ELT pipelines across cloud and legacy systems. Develop robust data models leveraging best practices such as the medallion architecture (Bronze, Silver, Gold layers) to organize raw, refined, and curated data for trusted analytics. Ensure data workflows and structures are optimized to support analytical, operational, and self-service use cases with high performance, reliability, and maintainability. Deliver and support seamless data integration in and out of enterprise data platforms ensuring timely, accurate, and secure data availability for reporting, analytics and other data needs. Drive adoption of best practices in data engineering design and coding standards to ensure scalable, maintainable, and reusable solutions aligned with architectural principles. Qualifications Bachelor's Degree Computer Science, Information Systems or related field - Required Master's Degree Computer Science, Information Systems or related field - Preferred 4 years Relevant work experience managing/leading data engineering teams - Required 3 years Hands-on development experience with Moden Cloud Data Platforms (Azure, AWS, Google, etc.) - Required 7 years Hands-on data engineering experience with ELT/ETL, Pipelines, Modeling, Warehousing, etc. - Required 3 years Advanced experience with SQL & Python - Required 3 years Experience modeling data for BI Platforms (Power BI, Tableau, BOE) with medallion architecture - Preferred 3 years Experience with Epic Cogito data platforms & reporting tool - Preferred 3 years Experience with DevOps, CI/CD & Agile delivery - Preferred 3 years Experience with DevOps, CI/CD & Agine delivery - Preferred TRAVEL IS REQUIRED: Never or Rarely JOB RANGE: Manager Data Management $117,340.82 - $161,343.63 INCENTIVE: Not Applicable EQUAL OPPORTUNITY EMPLOYER It is the policy of Franciscan Alliance to provide equal employment to its employees and qualified applicants for employment as otherwise required by an applicable local, state or Federal law. Franciscan Alliance reserves a Right of Conscience objection in the event local, state or Federal ordinances that violate its values and the free exercise of its religious rights. Franciscan Alliance is committed to equal employment opportunity. Franciscan provides eligible employees with comprehensive benefit offerings. Find an overview on the benefit section of our career site, jobs.franciscanhealth.org.

Responsibilities

The Manager of Data Engineering leads a team responsible for building and maintaining reliable, scalable data pipelines and models that support enterprise reporting, analytics, and data science. This role is critical in delivering data across a hybrid architecture, emphasizing a modern cloud data lakehouse platform.