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Senior Data Engineer - Snowflake

Pay
$96,264–137,657/year · BaseAnnual period assumed — pay source
Base Pay Range $96,264.00 - $137,657.00 Total Rewards
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workNot Considering Visa Sponsorship for this position

What you’ll work on

Full posting
  • Design, build, and optimize end-to-end data pipelines across ingestion to distribution

  • Validate, document, and communicate pipeline and model changes before release

  • Translate business requirements into scalable technical solutions

  • Ensure data reliability, quality, and accessibility, including monitoring SLAs

  • Troubleshoot complex data issues with root cause analysis

From the employer’s posting
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
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

What you’ll bring

All qualifications

Core experience

  • 4+ years of relevant experience
  • Knowledge, Skills, & Competencies
  • 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

Preferred experience

  • Experience in Property & Casualty (P&C) Insurance is preferred
Qualification wording
4+ years of relevant experience
Knowledge, Skills, & Competencies
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 in Property & Casualty (P&C) Insurance is preferred
Education & alternatives
Education & Experience - Typically requires a Bachelor’s degree in computer science, information systems, business administration, or a related field - 4+ years of relevant experience

About RLI

We’re not like other insurance companies.

In the employer’s words · Read in context

Apply at RLI

Posting record

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Status in our records
Live
First seen by us
Sep 24, 202650 days ago
Recorded sightings
32
Last seen by us
Nov 13, 2026
Employer says posted
Sep 22, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$96.3K–$138K against $127K–$190K, the middle half of what similar US postings state.

From 2,239 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 50

Similar jobs usually come down between day 6 and day 56.

From 13,630 similar postings that came down. Coming down is not always a hire.

RLI is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Snowflake
Where the posting names them
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
- 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

Your next step

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About RLI

People
About 1,193 in 2025, up 4% from the year before.Annual report (SEC Form 10-K)
Company
Listed as RLI.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 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

Compensation Overview

The base salary range for the position is listed below. Please note that the base salary is only one component of our robust total rewards package at RLI. The salary offered will take into account a number of factors including, but not limited to, geographic location, experience, scope & responsibilities of the role, qualifications/credentials, talent availability & specialization, as well as business needs. The below range may be modified in the future.

Base Pay Range

$96,264.00 - $137,657.00

Total Rewards

At RLI, we're all owners. We hire the best and the brightest employees and allow them to share in the company's success through our Total Rewards. With the Employee Stock Ownership plan at its core, the Total Rewards program includes all compensation, benefits and perks that come with being an RLI employee.

Financial Incentives

  • 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)

Work & Life

  • 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

Health & Wellness

  • 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

Personal & Professional Growth

RLI encourages its employees to pursue professional development work in insurance and job-related areas. We make a commitment to employees to provide educational opportunities that help them enhance their skills and further their career advancement. RLI fosters a true learning culture and encourages professional growth through insurance courses, in-house training and other educational programs. RLI covers the cost for most programs and employees typically earn a bonus upon successful completion of approved courses and certifications. Our personal and professional growth benefits include:

  • Training & certification opportunities

  • Tuition reimbursement

  • Education bonuses

Diversity & Inclusion

Our goal is to attract, develop and retain the best employee talent from diverse backgrounds while promoting an environment where all viewpoints are valued and individuals feel respected, are treated fairly, and have an opportunity to excel in their chosen careers. We actively support, and participate in, initiatives led by the American Property Casualty Insurance Association that aim to increase diversity in the insurance industry. Cultivating an exceptional and diverse workforce to deliver excellent customer service reinforces our culture and is a key to achieving superior business results.

RLI is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, color, religion, national origin, citizenship, gender, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law.

Source details

View original posting ↗

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Pay
Base Pay Range $96,264.00 - $137,657.00 Total Rewards
Location & working pattern

Peoria, IL

- Parental and family care leave - Flexible & hybrid work arrangements - Fitness center discounts and free virtual fitness platform
Work authorization
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
More source context
- Experience in Property & Casualty (P&C) Insurance is preferred - Not considering visa sponsorship for this role Knowledge, Skills, & Competencies

More relevant text appears in the full description.

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