Data Engineer-Healthcare Practice

27 set - Italia
Blue

Data Engineer
Blue & Co., LLC is an independent advisory and accounting firm providing tax, audit, and consulting services with a focus on practical, client-centered solutions. We combine deep industry expertise with a collaborative culture to help clients navigate complex financial and operational challenges.
Help Build the Future of Data Consulting
Blue & Co. is making a significant investment in Data & Analytics as a strategic growth initiative for the firm. We are building a modern Data & Analytics practice focused on developing proprietary data products, AI-enabled consulting services, and scalable analytics platforms that help healthcare organizations make better business decisions.
We believe AI is fundamentally transforming how consulting is delivered. Successful candidates will be comfortable leveraging modern AI tools to accelerate analysis, improve code quality, automate repetitive work, and solve complex business problems while exercising sound professional judgment.




While this position will spend most of its time supporting our nationally recognized Healthcare Consulting practice, the solutions you build will help establish scalable capabilities that extend across the entire firm.
This is an opportunity to help shape a rapidly growing practice - not simply support one.
Preferred Locations: Louisville, Indianapolis. Candidates in other Blue & Co., LLC locations will also be considered.
Key Responsibilities
- Partner with leadership to architect an enterprise healthcare data ecosystem and develop multi-year technical roadmaps aligned with business objectives.
- Design reusable data platforms that support multiple healthcare clients rather than one-off solutions.
- Build frameworks and accelerators that improve delivery speed across consulting engagements.
- Design, build, and maintain scalable ETL/ELT pipelines to ingest and transform data from diverse internal and external healthcare sources.
- Perform hands-on data extraction and scripting across hospit

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