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# TELECOMMUTE Manager Data Engineering

- **Company:** Franciscan Health, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $117,341.0 - $161,344.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Information Systems, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Security, DevOps, Python (Programming Language), Power BI, Cloud Services, SQL Databases, Tableau (Software), Enterprise Data Management, Information Technology, Data Management, Tools for Reporting, Data Pipelines, Legacy Systems
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/16d136d2-679a-4c6c-b034-54b881e7b2ff

## About the Role

* 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 system implementations and/or data engineering teams or cross functional 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

## Description

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)., * 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.


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