Healthcare Data Engineer

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.

We are seeking a high-performing professional with experience in Data Analytics and Business Intelligence, along with some experience working for a hospital, health care provider or health insurance company.

The ideal candidate can translate complex healthcare data into actionable insights and clearly communicate data-driven recommendations to clinical, operational, and executive stakeholders.

This individual will collaborate closely with our Data Analytics team to:

• Create and maintain data models (dimensional and 3NF) aligned with business requirements.

• Design and develop ETL pipelines that consolidate data from various source systems into a unified data platform, including defining source-to-target mappings, business rules, and any necessary data transformations.

• Develop Semantic Models and Reports / Dashboards based on business requirements.

• Facilitate business requirements sessions and conduct data analysis to accurately identify and specify the data needed to support impactful business objectives.

• Collaborate effectively with clients and team members across regions.

Basic Qualifications:

• Bachelor’s degree or equivalent experience in Math, Computer Science, Information Systems, Finance, Accounting, Economics, Health Informatics, Health Information Management, Public Health, Healthcare Administration, Biostatistics or Analytics.

• 3+ years of experience designing data models across multiple subject areas and business domains.

• 3+ years of experience in designing and developing business intelligence solutions.

• 3+ years of designing and developing scalable, efficient data pipelines to ingest, transform, and load data from multiple sources into data lakes and data warehouses

• Proficient in SQL

• Experience with Python/Scala

• Proven experience with major cloud platforms such as Microsoft Azure, AWS or GCP

• Experience with data platforms like Fabric, Databricks and Snowflake

• Experience with GIT, DevOps, CI/CD and Version Control

• Experience with BI visualization tools such as Power BI, Qlik or Tableau.

• Strong communication skills, both written and verbal.

• Excellent critical thinking and problem-solving abilities.

• Team-oriented with the ability to work independently and in virtual teams.

• Passion for solving complex business problems through data-driven solutions.

• Willingness and ability to travel as needed

Preferred Qualifications:

• 2+ years of healthcare analytics experience.

• Understanding of healthcare reimbursement mechanics, revenue cycle data structures, and large-scale healthcare datasets (claims, EHR, contract, and cost accounting data).

• Experience conducting solution / technical assessments.

• Working knowledge of electronic medical record (EMR) systems and clinical data workflows (e.g., Epic, Cerner, Meditech)

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law. 

Accommodation for applicants with disabilities is ava