The Role
Designs, builds, and optimizes scalable end-to-end data pipelines and curated data products using Snowflake, SQL, and Python. Translates business needs into reliable technical solutions, ensuring data quality, governance, performance, and cost efficiency. Troubleshoots complex issues, contributes to architectural decisions, uses AI-assisted engineering tools, and collaborates with engineering, analytics, product, and business stakeholders. The role also includes code reviews, documentation, mentoring, and influencing data engineering best practices.
Summary Generated by Built In
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!
Principal Duties & Responsibilities
Education & Experience
Knowledge, Skills, & Competencies
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 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
- Annual bonus plans
- Employee stock ownership plan (ESOP)
- 401(k) — automatic 3% company contribution
- Annual 401k and ESOP profit-sharing contributions (Up to 15% of eligible earnings)
- Paid time off (PTO) and holidays
- Paid volunteer time off (VTO) to support our communities
- Parental and family care leave
- Flexible & hybrid work arrangements
- Fitness center discounts and free virtual fitness platform
- Employee assistance program
- Comprehensive medical, dental and vision benefits
- Flexible spending and health savings accounts
- 2x base salary for group life and AD&D insurance
- Voluntary life, critical illness, & accident insurance for purchase
- Short-term and long-term disability benefits
- Training & certification opportunities
- Tuition reimbursement
- Education bonuses
Skills Required
- Bachelor's degree in computer science, information systems, business administration, or a related field
- Equivalent combination of education and experience may be accepted
- 4+ years of relevant experience
- Advanced proficiency in SQL
- Strong engineering capability in Python
- Strong experience with Git-based version control, branching strategies, pull requests, and code reviews
- Hands-on experience with Snowflake or a similar cloud-native data platform
- Experience with 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
- Ability to translate business problems into data solutions
- Experience with unstructured and semi-structured data and APIs
- Property and Casualty insurance experience
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The Company
What We Do
RLI is a U.S.-based specialty insurer that serves niche property, casualty and surety markets. We provide peace of mind to the customers we serve by safeguarding their assets and helping them manage risk. We hire smart, ethical people, make them owners of the business and give them the freedom to succeed. These are the principles that drive our success, and they’re the reasons we have been successful for more than 50 years. We believe in a different way of doing business and RLI is not what you’d expect from a typical insurance company. Our creative and collaborative workplace is cultivated by employee owners empowered to make good decisions for customers and the business. We have a reputation for niche expertise, superior service and an entrepreneurial culture. In the industry and among our peers, we’re known for: The best and brightest people in the industry who build strong relationships and provide outstanding service. An underwriting focus so we perform well in all market cycles. Our empowered, creative ownership culture. A customized approach to developing insurance products to meet very specific needs. Proven financial strength.
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