Design, develop, and maintain the enterprise data warehouse architecture to support reporting, analytics, and business intelligence initiatives.
Develop dimensional data models including fact tables, dimension tables, surrogate keys, and slowly changing dimensions using industry best practices.
Design and implement ETL/ELT pipelines to extract, transform, and load data from multiple operational systems into staging, transformation, and warehouse layers.
Ensure efficient processing on an ongoing basis including data consistency of data attributes, naming conventions, and element value types.
Optimize SQL queries, indexing strategies, and database performance to ensure efficient data retrieval and warehouse processing.
Automate, schedule, and monitor data integration jobs to ensure reliable and consistent data loading processes.
Ensure data accuracy, consistency, and integrity by implementing validation checks and reconciliation processes between source systems and the data warehouse.
Collaborate with business analysts, data analysts, and technical teams to translate business requirements into scalable data models and warehouse solutions.
Provide technical expertise for business intelligence and reporting tools such as Microsoft Power BI and other analytics platforms.
Document data warehouse architecture, data models, ETL processes, and data definitions to support long-term maintainability and governance.
Identify opportunities to improve data integration processes, warehouse performance, and reporting capabilities.
Support ongoing data governance and data quality initiatives across the organization.

Requirements

Bachelor’s degree in computer science, information systems, engineering, or other related discipline and/or equivalent combination of education and relevant experience.
3+-7+ years of experience in data warehouse development.
Strong experience with Microsoft SQL Server or other enterprise relational databases.
Experience developing ETL pipelines using SSIS, Azure Data Factory, or comparable ETL tools.
Demonstrated experience designing and implementing dimensional data models.
Strong experience designing fact tables, dimension tables, surrogate keys, and slowly changing dimensions (SCD).
Advanced SQL development and query optimization skills.
Experience working with large datasets and complex data transformations.
Experience supporting business intelligence and reporting platforms such as Power BI, Tableau, or similar tools.
Knowledge of HIPAA Privacy and Security requirements.
Working knowledge of federal / state fraud and abuse laws required.
Valid driver’s license with excellent driving record required.

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Generous employer-matched 403b savings program
Company paid: Life insurance, Short- and long-term disability insurance
Paid Time Off
And much more!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data warehouse architecturedimensional data modelsETL pipelinesSQL optimizationdata integrationdata governancedata qualitydata validationdata transformationbusiness intelligence

Soft Skills

collaborationtechnical expertisedocumentationproblem-solvingcommunication