Senior Data Engineer

Location(s)

Atlanta, Georgia, Birmingham, Alabama, Boston, Massachusetts, Chicago, Illinois, Cincinnati, Ohio, Columbus, Ohio, Jacksonville, Florida, P&C-Butterfield Road-Downers Grove-IL-AAC

Kemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs.

By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

Kemper is seeking a Data Engineer 4 to design, develop, and optimize enterprise data solutions that enable robust analytics, reporting, and business insights. This role provides technical leadership across data integration, transformation, and delivery processes. The ideal candidate is a self‑motivated problem solver with strong intellectual curiosity, excellent data management skills, and a deep understanding of data security and governance principles.

As a senior member of the data engineering team, you will be responsible for architecting and maintaining scalable data pipelines, preparing data for extracts and reporting, and ensuring efficient and secure data flows across systems and platforms.

• Design and Develop Data Solutions Build, maintain, and optimize data pipelines and workflows that support reporting, analytics, and business applications using SQL, Informatica, IICS, and Snowflake.

• Data Processing and Preparation Develop and manage data preparation routines for extracts, transformations, and reporting datasets, ensuring reliability and performance.

• Data Modeling and Optimization Create and maintain logical and physical data models following normalization principles and best practices. Tune queries for optimal performance across Snowflake and Oracle environments.

• Integration and Automation Work with various structured and semi-structured data formats (XML, JSON) and leverage AWS cloud frameworks for scalable data integration and processing.

• Data Security and Quality Ensure compliance with data security policies and implement best practices for data protection, integrity, and confidentiality.

• Collaboration and Leadership Partner with data analysts, developers, and business stakeholders to define data requirements, streamline processes, and improve data accessibility for reporting tools such as Power BI.

• Continuous Improvement Recommend and implement improvements to data architecture, workflows, and governance processes. Serve as a mentor to junior team members and promote a culture of curiosity and continuous learning.

Required Skills and Experience

• Bachelor’s degree in Computer Science, Information Systems, or a related field; equivalent work experience considered.

• 5 years of experience in data engineering or database development.

• Demonstrated expertise in:

• SQL development and query tuning

• Informatica and IICS for ETL and data integration

• Snowflake data warehouse architecture and development

• Oracle database systems

• Power BI for data visualization and reporting enablement

• Data modeling, normalization, and relational design

• Handling and transforming XML and JSON data structures

• Building data solutions in an AWS cloud environment

• Strong problem‑solving abilities and the capacity to work independently on complex technical challenges.

• Deep understanding of data security, governance, and compliance best practices.

• High degree of self‑motivation, intellectual curiosity, and commitment to continuous improvement.

Preferred Qualifications

• Experience with Power Shell or Python for automation and data scripting.

• Familiarity with IDMC (Informatica Intelligent Data Management Cloud).

• Experience with Azure data storage, compute, and integration services.

• Knowledge of Git for version control and collaboration.

• Exposure to end‑to‑end data flow, ingestion, and…