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# Sr. Data Engineer - Snowflake (Peoria, IL or Chicago, IL)

- **Company:** RLI Corp.
- **Location:** Peoria, IL, United States
- **Experience:** Expert
- **Salary:** $96,264.0 - $137,657.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Architectural Patterns, Code Review, Information Engineering, Data Integrity, Data Systems, Python (Programming Language), SQL Databases, Snowflake, Git, Semi-structured Data, Git Flow, Data Analytics, Software Version Control, Data Pipelines
- **Published:** September 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1715737d867c042a

## About the Role

* Advanced proficiency in SQL and strong engineering capability in Python
 * Strong experience with Git-based version control, including branching strategies, pull requests, and code review practices

## Description

RLI is seeking a collaborative and driven Senior Data Engineer to join our Data & Analytics team. Reporting to a Data Engineering Manager, this role is responsible for designing, building, and delivering scalable, end-to-end data solutions-from ingestion through data product creation and distribution., * Ensure changes to data pipelines and models are validated, documented, and communicated prior to release

 * Translate business requirements into scalable and maintainable technical solutions
 * Contribute to solution design decisions within established enterprise architectural patterns
 * Ensure data reliability, quality, and accessibility across systems and data products, including monitoring SLAs where appropriate
 * Troubleshoot and resolve complex data and system issues, including root cause analysis
 * Optimize performance, scalability, and cost efficiency of pipelines and data products
 * Leverage AI-assisted engineering tools to accelerate development, automate tasks, and improve documentation (with validation of outputs)
 * Partner closely with team members and stakeholders to ensure solutions address customer needs, deliver measurable business value, and align to product objectives
 * Collaborate with other engineers through design collaboration and code reviews, * Familiarity with AI-assisted development tools and integrating AI-enabled components where appropriate
 * Ability to translate business problems into data solutions
 * Comfortable with unstructured, semi-structured data, and APIs
 * Autonomy & Execution: Operates independently while adhering to established engineering standards, driving work forward in complex and evolving environments
 * Engineering Judgment: Applies critical thinking to solve complex challenges and anticipates scalability, performance, and integration risks early
 * Continuous Improvement Mindset: Identifies opportunities to improve engineering practices, patterns, and overall solution quality
 * AI-Augmented Engineering: Uses automation and AI-assisted approaches to improve delivery speed, quality, and decision-making
 * Collaboration & Influence: Works effectively across engineering, analytics, and product teams; communicates technical decisions and tradeoffs clearly
 * Mentorship & Team Development: Supports and mentors other engineers through hands-on collaboration