Sr. Data Engineer - Snowflake

Position: Sr. Data Engineer - Snowflake  )
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 PurposeRLI 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  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 field4+ 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…