Senior Data Engineer

We are seeking a skilled Business Intelligence and Data Engineering professional with a strong background in design and development, data modeling, and business analytics. 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, 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 or Snowflake • Experience with GIT, DevOps, CI/CD and Version Control • Experience with BI visualization tools such as Power BI, Quick Sight 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. • Willing and able to travel up to 20% Preferred Qualifications: • Experience conducting solution / technical assessments. • Experience with DBT, Spark and BigData technologies • Knowledge of Databricks. • Working knowledge of the modernized information management tool (e.g., Collibra, Informatica, Talend, Alation, Purview) At RSM, we offer a competitive benefits and compensation package for all our people. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits. We believe flexibility and in-person connection both play an important role in how we work and grow. Most roles at RSM follow a hybrid workstyle, which means team members are aligned to an RSM office and come together in person when it best supports clients, teams, development or relationship-building. Some roles may be virtual or primarily on-site based on role requirements, team priorities and client needs. At RSM, an employee's pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Compensation Range: $88,900 - $168,300 Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.