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Data Engineer II

Chewy

Data Engineer II

Chewy

Bellevue, WA

·

On-site

·

Full-time

·

5d ago

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 Data Engineer II 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.

Key Responsibilities

  • Design, implement, and improve the analytics platform
  • Implement and simplify self-service data query and analysis capabilities of the BI platform
  • Develop and improve the current BI architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility
  • Deploy and use various big data technologies and run pilots to design low latency data architectures at scale
  • Collaborate with business analysts, data scientists, product managers, software development engineers, and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction, forecasting, clustering, and machine learning algorithms
  • Partner with other BI and analytics teams to build and verify hypotheses to improve the discovery experience

Basic Qualifications

  • Bachelor’s degree in Computer Science or related field or 3+ years relevant experience
  • Current permanent U.S. work authorization is required
  • Expert level skills writing and optimizing complex SQL
  • Knowledge of data warehousing concepts.
  • Experience in data mining, profiling, and analysis
  • Experience with complex data modelling, ETL design, and using large databases in a business environment
  • Proficiency with Linux command line and systems administration
  • Experience with languages like Python, Ruby, Java, or similar language
  • Experience with Big Data technologies such as Hive/Spark.
  • Proven ability to develop unconventional solutions; Sees opportunities to innovate and leads the way
  • Excellent verbal and written communication; Proven interpersonal skills and ability to convey key insights from complex analyses in summarized business terms; Ability to effectively communicate with technical teams
  • Ability to work with shifting deadlines in a fast-paced environment

Preferred Qualifications

  • Authoritative in ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies
  • Experience with building data pipelines and applications to stream and process datasets at low latencies.
  • Demonstrate efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
  • Sound knowledge of distributed systems and data architecture (lambda)- design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
  • Knowledge of Engineering and Operational Excellence using standard methodologies.

The base salary range for this role is $110,500 - $176,000.-
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