招聘

Lead Data Engineer, Customer Identity Analytics (Hybrid - Seattle, WA)
Seattle, WA
·
On-site
·
Full-time
·
1d ago
Job Description
In the Data & Analytics Services organization, our teams build and maintain the data infrastructure that powers customer analytics, merchandising insights, and marketing measurement across Nordstrom. We help ensure customers receive a seamless, personalized experience across every channel by building the unified data assets that drive business decisions at every level of the company.
Delivering great customer experiences — from relevant recommendations to accurate loyalty rewards to effective marketing — depends on a consistent view of our customers across channels. Our Customer Identity team maintains the platform that makes this possible, and this role will serve as its technical lead.
As the Lead Data Engineer on the Customer Identity team, you will own the technical direction: hands-on with customer recognition systems and data quality analysis while also setting roadmap and strategy for the team. You’ll guide 4 engineers, with plans to grow the team as scope expands. You’ll own the full lifecycle of identity platform quality — from improving match accuracy to designing quality KPIs to modernizing our data platform architecture.
A day in the life...
- Own the strategy to improve customer recognition accuracy by working with upstream data partners, evaluating data enrichment approaches and piloting new techniques that help deliver more consistent and personalized experiences
- Collaborate with customer analytics leadership and business stakeholders to ensure the identity platform supports key use cases, from marketing measurement to customer lifetime value modeling to personalization
- Design and implement platform quality KPIs, match confidence scoring, precision/recall metrics, and reconciliation measures across identity methods to ensure accuracy and reliability
- Lead the migration of identity infrastructure from complex orchestration layers to a warehouse-native architecture (Big Query + dbt), reducing operational overhead so the team can focus on analytical improvement
- Mentor and develop engineers on the customer analytics, setting technical standards, running design reviews, and providing direct feedback
- Maintain a high bar for data quality, testing, and monitoring, building automated checks that catch data quality regressions before they impact downstream reporting
You own this if you have...
- 7+ years of experience in data engineering, applied data science, or machine learning, with hands-on work in entity resolution, record linkage, or customer identity systems at scale
- Deep understanding of data matching concepts: match rules, blocking strategies, confidence thresholds, and precision/recall tradeoffs in customer data systems
- Production-quality SQL skills and fluency in Big Query or a comparable cloud data warehouse, with hands-on experience in dbt, airflow or equivalent transformation frameworks
- Ability to frame ambiguous data quality problems as measurable experiments and communicate statistical concepts to business stakeholders
We’ve got you covered…
Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
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Medical/Vision, Dental, Retirement and Paid Time Away
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Life Insurance and Disability
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Merchandise Discount and EAP Resources
A few more important points...
The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.
For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.
Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.
Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ’s for relevant information and guidelines.
© 2022 Nordstrom, Inc
Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.
Nordstrom keeps job postings open for at least one day after the posting date.
Pay Range Details
The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.
$166,000.00 - $258,000.00 Annual
This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf
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关于Nordstrom

Nordstrom
PublicNordstrom is an American luxury department store chain founded by John W. Nordstrom and Carl F. Wallin. The company operates full-line stores and Nordstrom Rack discount stores across the United States and Canada.
10,001+
员工数
Seattle
总部位置
$4.3B
企业估值
评价
3.9
10条评价
工作生活平衡
3.2
薪酬
3.8
企业文化
4.1
职业发展
2.8
管理层
3.4
72%
推荐给朋友
优点
Supportive management and team culture
Excellent benefits and employee discounts
Flexible scheduling
缺点
High-pressure sales environment and targets
Long hours during peak seasons
Limited advancement opportunities
薪资范围
43个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Analyst 1
1份报告
$103,500
年薪总额
基本工资
$90,000
股票
-
奖金
-
$103,500
$103,500
面试经验
4次面试
难度
2.8
/ 5
时长
21-35周
录用率
25%
体验
正面 25%
中性 75%
负面 0%
面试流程
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Virtual/Phone Interview
5
Final Interview
6
Offer
常见问题
Behavioral/STAR
Coding/Algorithm
Technical Knowledge
Past Experience
Culture Fit
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