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Business Intelligence Engineer III

Chewy

Business Intelligence Engineer III

Chewy

Bellevue, WA

·

On-site

·

Full-time

·

1w ago

Compensation

$129,500 - $207,000

Benefits & Perks

Healthcare

Dental

Vision

Life Insurance

Disability Insurance

401(k)

Equity

Unlimited PTO

Parental Leave

Flexible Spending Accounts

Telemedicine

Employee Assistance Program

Healthcare

401k

Equity

Unlimited Pto

Parental Leave

Required Skills

Data modeling

ETL/ELT

SQL

Python

Java

BI tools

Data warehouse architecture

A/B Testing

Job Description:

Our Opportunity:

At Chewy, we’re on a mission to become the most trusted and convenient destination for pet parents everywhere. The Data Platform team in the Marketing Sciences Organization sits at the intersection of data, marketing, and innovation — helping us understand our customers, personalize their experiences, and measure the impact of every interaction.

We’re looking for a Business Intelligence Engineer III who is passionate about building data ecosystems that unlock insights and fuel smarter decisions. This is more than a data engineer role — it’s an opportunity to shape how Chewy thinks about marketing data at scale and to help drive the future of customer engagement.

What You’ll Do:

  • Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data models, reports/dashboards/BI solutions for analytics and deep learning
  • Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes
  • Provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources
  • Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture
  • Produce comprehensive, usable data set documentation, metadata, BI reports, Dashboards and insights

What You’ll Need:

  • Candidate must possess a Bachelor’s degree in Computer Science, or related field, or equivalent experience
  • 7+ years of experience with detailed knowledge of BI data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools
  • 5+ years of experience with BI/visualization tools like Tableau/BO/OBIEE etc.
  • 3+ years of work experience in building self-serve BI solutions, canned reports and enterprise level BI solutions
  • 3+ years of experience with data modeling in large Data warehousing, data lake environment
  • 3+ years of medium to advanced object-oriented programing on Python or Java skills on industry projects
  • 2+ years of data science experience with building regression, classification models
  • Exposure to Big Data stack environments (EMR, Hadoop, Map Reduce, Hive)
  • Good analytical skills with excellent knowledge of SQL and advance SQL
  • Excellent communication skills, both written and verbal
  • Experience with A/B Testing & Optimization techniques

Bonus:

  • Experience in gathering requirements and formulating business metrics for reporting
  • Experience building on AWS Quick Sight, Elastic Cache etc
  • Experience with statistical models and building predictive models from scratch
  • Experience with building NLP and sentiment analysis

The base salary range for this role is $129,500 - $207,000.-
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

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About Chewy

Chewy

Chewy

Public

A food database that provides personalized meal plans, food analytics, AI-based food discovery, and tracks fitness journey.

1-50

Employees

Chennai

Headquarters

$7.5B

Valuation

Reviews

2.9

25 reviews

Work Life Balance

2.1

Compensation

3.2

Culture

2.3

Career

3.1

Management

1.8

35%

Recommend to a Friend

Pros

Good pay and compensation

Career advancement opportunities

Regular raises and recognition

Cons

Poor management and leadership

Excessive work hours and workload

Lack of employee care and support

Salary Ranges

1,354 data points

Junior/L3

L2

L3

L4

L5

L6

Mid/L4

Senior/L5

Director

Junior/L3 · Business Intelligence Engineer I

1 reports

$133,383

total / year

Base

$115,766

Stock

-

Bonus

-

$133,383

$133,383

Interview Experience

12 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 0%

Neutral 58%

Negative 42%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit