Data Analytics Engineer III - Franciscan Health

The Data Analytics Engineer 3 is responsible for designing and creating tables within data marts, data lakes and data warehouse and all related extraction, transformation and load of data functions. Work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for analytics developers and business analysts to interpret. Their goal is to make data accessible so that organizations can use it to evaluate and optimize their performance. They also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. Data engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Takes direction and guidance from lead data engineers and department leadership to work towards enhancement of self and the team's capabilities around data and analytic competencies. Mentors junior data engineers and guides users across the organization to promote data education and a data-driven culture in all aspects of clinical and business operation

WHO WE ARE With 11 ministries and access points across Indiana, 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

EXPERIENCE WE ARE LOOKING FOR

Deep understanding of modern data architectures, including lakehouse design patterns and scalable data processing approaches

Hands-on experience with Azure data platforms, including ADLS, Azure Data Factory (ADF), Databricks, and related lakehouse technologies

Strong experience designing and implementing metadata-driven, scalable data pipelines

Proficiency in Python and PySpark for building data pipelines, transformations, and distributed processing workloads

Experience integrating data across systems using APIs and other modern data connectivity patterns

Proficiency with DevOps and DataOps practices, including CI/CD for data pipelines and cloud infrastructure

Advanced SQL skills with experience managing and optimizing relational data platforms

Familiarity with Microsoft Fabric is a plus

Experience with healthcare data platforms such as Epic Cogito is a plus

WHAT YOU CAN EXPECT

Consultation: Work with data and analytics experts to strive for greater functionality in our data systems. Consults with data systems management teams to get a big-picture idea of the data needs.

Data Pipelines: Under the guidance of leadership, designs, implements and continuously expands data pipelines by performing extraction, transformation and loading activities. Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requ