Data Modeler

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.***

The Data Modeler will support the design, development, and maintenance of logical and physical data models that enable analytics, reporting, and operational data use cases. This role works with business and technical stakeholders to translate requirements into structured data solutions while applying established enterprise data modeling standards and practices. The Data Modeler contributes to data quality, consistency, and usability across systems while developing expertise in enterprise data modeling, data warehousing, data integration, and database technologies.

• →Design and maintain logical and physical data models for operational, analytics, and reporting use cases, including dimensional, normalized, and relational models under guidance from senior team members.
• →Translate business and technical requirements into structured data definitions, entities, relationships, and model components.
• →Apply enterprise naming conventions, data standards, and modeling practices consistently across deliverables, and maintain model documentation, metadata, versioning, and change tracking.
• →Create and maintain modeling artifacts, including entity relationship diagrams (ERDs), data mappings, model definitions, and supporting documentation.
• →Perform data profiling, validation, and quality reviews to support model accuracy, consistency, and usability, and assist in troubleshooting data structure, lineage, mapping, and integration issues.
• →Support data warehouse development and data integration initiatives across multiple systems while collaborating with data engineers, analysts, architects, and business stakeholders to clarify data requirements.

• →Bachelor’s degree in Information Systems, Computer Science, Business, or a related field, with 2 to 4 years of experience in data modeling, database design, analytics engineering, or a related data discipline.
• →Working knowledge of logical and physical data modeling concepts, dimensional modeling, and relational database design principles.
• →Experience using SQL for querying, validation, and data analysis, along with experience using data modeling tools such as ER/Studio, ERwin, or similar platforms and familiarity with cloud database or warehouse technologies such as PostgreSQL, Redshift, Athena, Snowflake, or similar platforms.
• →Strong analytical, problem-solving, and communication skills, with the ability to manage assigned work independently while collaborating effectively within a team environment.

This job operates in a professional office environment.

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract.