Senior Data Engineer

Kemper•Chicago, IL

17h•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

Experience with PowerShell 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 orchestration processes across hybrid or multi-cloud environments.

Responsibilities

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.