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

rlicorp; Peoria (IL); On-site; USD 110,000 - 140,000; Full time

Job summary

RLI Corp is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines across ingestion, transformation, modeling, and distribution. You will partner with stakeholders to translate needs into high-value data products and ensure data reliability and governance.

You will work in a fast-paced, agile environment within our Data & Analytics team, reporting to a Data Engineering Manager, and contributing to end-to-end data platform evolution.

Qualifications

• Typically requires a Bachelor's degree in computer science, information systems, business administration, or a related field.
• 4+ years of relevant experience.
• Experience in Property & Casualty (P&C) Insurance is preferred.
• Not considering visa sponsorship for this role.

Responsibilities

• Design, build, and optimize end-to-end data pipelines across ingestion, transformation, modeling, 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.
• Collaborate with engineers and stakeholders to deliver data products that meet needs.
• Monitor data reliability, quality, and SLAs across systems.
• Troubleshoot complex data and system issues and perform root cause analysis.
• Leverage AI-assisted tooling to accelerate development and improve documentation.
• Contribute to architectural decisions within established enterprise patterns.

Skills

SQL

Python

Git

Snowflake

Data modeling

Data quality

Governance

Data pipelines

Performance tuning

AI tools

Education

Bachelor's degree in CS/IS/BA or related field

Job description

About Us

We're not like other insurance companies. From our specialty products to our business model, our culture to our results - we're different. Different is who we are, and how we work, interact, deliver and succeed together. Creating a different and better insurance experience doesn't just happen. It takes focus and a shared passion for going beyond the expected to forge relationships and deliver care that makes a difference. This approach rises from and is supported by our talented, ethical and smart team of employee owners united around a single purpose: to work alongside our customers and partners when they need us, in unexpected ways, with exceptional results. Apply today to make a difference with us.

RLI is a Glassdoor Best Places to Work company with a strong, successful background. For decades, our financial track record has been stellar - a testament to our culture and validation of our reputation as an excellent underwriting company.

Position Purpose

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.

You will partner with team members and business stakeholders to understand customer needs and translate them into high-value solutions aligned to product objectives, delivering work iteratively and refining solutions based on feedback and evolving requirements. Operating with a high degree of autonomy, you will contribute to solution design within established architectural patterns while taking a product-oriented approach-balancing speed and quality to continuously improve business impact.

In this role you will design solutions, influence best practices, and contribute to the evolution of our data platform.

If you're passionate about data, adaptable to new challenges, and thrive in an agile, fast-paced environment, we'd love to hear from you!

Not Considering Visa Sponsorship for this position.

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT Training Plan endorsement for this position.

Principal Duties & Responsibilities

• Design, build, and optimize end-to-end data pipelines across ingestion, transformation, modeling, and distribution layers
• 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

Education & Experience

• Typically requires a Bachelor's degree in computer science, information systems, business administration, or a related field
• 4+ years of relevant experience
• [OR] equivalent level of education and experience
• Experience in Property & Casualty (P&C) Insurance is preferred
• Not considering visa sponsorship for this role

Knowledge, Skills, & Competencies

• 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
• Hands-on experience with Snowflake or a similar cloud-native data platform
• Strong understanding of data modeling, data quality, and governance practices
• Experience building and optimizing scalable, reliable data pipelines and curated data products
• Experience with performance tuning, system optimization, and troubleshooting
• 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 automatio